title
Informatica Tutorial | Learn Informatica In 60 Minutes | Informatica PowerCenter Training | Edureka
description
( Informatica Tutorial - https://www.edureka.co/informatica )
This Edureka Informatica tutorial will help you understand the various components of Informatica PowerCenter in detail with examples. This video covers the following topics:
1. What is Business Intelligence?
2. What is Extract, Transform, Load?
3. What Informatica PowerCenter10?
4. Informatica PowerCenter Administrative Console
5. Hands-on: Informatica PowerCenter 10
Check our Informatica playlist here https://goo.gl/TmX6Fv.
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#Informatica #Informaticatutorial #Informaticapowercenter #Informaticaonlinetraining
How it Works?
1. This is a 6 Week Instructor led Online Course, 25 hours of assignment and 20 hours of project work
2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
3. At the end of the training you will be working on a real time project for which we will provide you a Grade and a Verifiable Certificate!
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About the Course
Edureka's Informatica PowerCenter Certification training is designed to help you become a top Informatica Developer and Administrator. During this course, our expert Informatica instructors will help you:
1. Understand and identify different Informatica Products
2. Describe Informatica PowerCenter architecture & its different components
3. Use PowerCenter 9.x components to build Mappings, Tasks, Workflows
4. Describe the basic and advanced features functionalities of PowerCenter 9.X transformations
5. Understand Workflow Task and job handling
6. Describe Mapping Parameter and Variables
7. Perform debugging, troubleshooting, error handling and recovery
8. Learn to calculate cache requirement and implement session cache
9. Execute performance tuning and Optimisation
10. Recognise and explain the functionalities of the Repository Manager tool.
11. Identify how to handle services in the Administration Console
12. Understand techniques of SCD, XML Processing, Partitioning, Constraint based loading and Incremental Aggregation
13. Gain insight on ETL best practices using Informatica
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Who should go for this course?
The following professionals can go for this course :
1. Software Developers
2. Analytics Professionals
3. BI/ETL/DW Professionals
4. Mainframe developers and Architects
5. Individual Contributors in the field of Enterprise Business Intelligence
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Why learn Informatica?
Informatica provides the market's leading data integration platform. Tested on nearly 500,000 combinations of platforms and applications, the data integration platform interoperates with the broadest possible range of disparate standards, systems, and applications. This unbiased and universal view makes Informatica unique in today's market as a leader in the data integration platform. It also makes Informatica the ideal strategic platform for companies looking to solve data integration issues of any size.
The topics related to Informatica have extensively been covered in our course 'Informatica PowerCenter 9.X Developer & Admin’.
For more information, Please write back to us at sales@edureka.co or call us at IND: 9606058406 / US: 18338555775 (toll free).
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
detail
{'title': 'Informatica Tutorial | Learn Informatica In 60 Minutes | Informatica PowerCenter Training | Edureka', 'heatmap': [{'end': 284.949, 'start': 246.482, 'weight': 0.713}, {'end': 1141.88, 'start': 1061.536, 'weight': 0.791}, {'end': 1457.951, 'start': 1379.723, 'weight': 1}, {'end': 1592.498, 'start': 1515.376, 'weight': 0.934}, {'end': 2447.243, 'start': 2368.402, 'weight': 0.736}, {'end': 3011.564, 'start': 2864.884, 'weight': 0.836}], 'summary': 'This tutorial from edureka provides a comprehensive 60-minute session on learning informatica powercenter, covering its significance in data management, business intelligence and etl process, informatica powercenter tools and usage, data import, source qualifier transformation, data integration and transformation, and informatica powercenter workflow, with a focus on key operations and efficiency metrics.', 'chapters': [{'end': 100.532, 'segs': [{'end': 84.997, 'src': 'embed', 'start': 12.008, 'weight': 0, 'content': [{'end': 18.673, 'text': 'Hello everyone, this is Neil from Edureka and welcome to this Edureka live session on learning Informatica in 60 minutes.', 'start': 12.008, 'duration': 6.665}, {'end': 24.818, 'text': 'This is the second installment of our business intelligence tool series and in our previous session we had looked at Power BI.', 'start': 19.194, 'duration': 5.624}, {'end': 32.503, 'text': "Now Informatica is the market's leader when it comes to data management, data integration, data processing, basically anything that deals with data.", 'start': 25.438, 'duration': 7.065}, {'end': 38.992, 'text': 'Now, even if you have a three hour session on Informatica, we would still not be able to complete it, explore it as such.', 'start': 32.944, 'duration': 6.048}, {'end': 40.834, 'text': "However, post today's session,", 'start': 39.452, 'duration': 1.382}, {'end': 47.542, 'text': "I'm quite sure most of you would be able to work with Informatica and begin your journey on playing with data through Informatica Power Center.", 'start': 40.834, 'duration': 6.708}, {'end': 54.331, 'text': "Now, moving forward, let's look at today's agenda to get a better understanding of what we'll be discussing as part of this session.", 'start': 48.163, 'duration': 6.168}, {'end': 59.197, 'text': "Now, the first thing we'll try to understand is what exactly is business intelligence.", 'start': 55.032, 'duration': 4.165}, {'end': 63.502, 'text': 'Now, Informatica is a tool that provides you a business intelligence based solution.', 'start': 59.557, 'duration': 3.945}, {'end': 66.245, 'text': "So let's try to understand what is business intelligence first.", 'start': 63.542, 'duration': 2.703}, {'end': 73.23, 'text': "After that, we'll try to understand what is extract, transform and load because this is a tool that performs this operation.", 'start': 67.066, 'duration': 6.164}, {'end': 77.052, 'text': "So, it's essential that you understand how extract, transform and load works.", 'start': 73.29, 'duration': 3.762}, {'end': 78.453, 'text': 'Moving on from there,', 'start': 77.713, 'duration': 0.74}, {'end': 84.997, 'text': "we'll talk about Informatica Power Center 10 and then we'll be looking at the various tools associated with Informatica Power Center,", 'start': 78.453, 'duration': 6.544}], 'summary': 'Neil introduces informatica in a 60-minute session, focusing on business intelligence and informatica power center 10.', 'duration': 72.989, 'max_score': 12.008, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/3scD3llibJA/pics/3scD3llibJA12008.jpg'}], 'start': 12.008, 'title': 'Learning informatica', 'summary': 'Introduces the edureka live session on learning informatica, highlighting its significance in data management and providing a brief agenda overview, aiming to equip participants to work with informatica power center in just 60 minutes.', 'chapters': [{'end': 100.532, 'start': 12.008, 'title': 'Learning informatica in 60 minutes', 'summary': 'Introduces the edureka live session on learning informatica, highlighting its significance in data management and providing a brief agenda overview, aiming to equip participants to work with informatica power center.', 'duration': 88.524, 'highlights': ['Informatica is the market leader in data management, data integration, and data processing, dealing with various data-related functions.', 'The session aims to equip participants to work with Informatica and begin their journey with Informatica Power Center.', 'The agenda includes understanding business intelligence, extract, transform, and load operations, and exploring Informatica Power Center 10 and its associated tools.', 'Informatica Power Center provides a business intelligence-based solution, emphasizing the significance of understanding business intelligence.']}], 'duration': 88.524, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/3scD3llibJA/pics/3scD3llibJA12008.jpg', 'highlights': ['Informatica is the market leader in data management, data integration, and data processing, dealing with various data-related functions.', 'The session aims to equip participants to work with Informatica and begin their journey with Informatica Power Center.', 'The agenda includes understanding business intelligence, extract, transform, and load operations, and exploring Informatica Power Center 10 and its associated tools.', 'Informatica Power Center provides a business intelligence-based solution, emphasizing the significance of understanding business intelligence.']}, {'end': 724.119, 'segs': [{'end': 140.626, 'src': 'embed', 'start': 115.972, 'weight': 0, 'content': [{'end': 122.377, 'text': 'Now, business intelligence basically is a group of techniques as well as tools, wherein you gather your data from different sources.', 'start': 115.972, 'duration': 6.405}, {'end': 128.061, 'text': 'Once you have your data from different sources, you bring it onto a common platform that is usually a data warehouse.', 'start': 122.857, 'duration': 5.204}, {'end': 134.143, 'text': 'once i have my data present here, that is, all the data from different sources in a common point.', 'start': 128.721, 'duration': 5.422}, {'end': 140.626, 'text': 'then from this data i can perform various analysis and make it quite easy for the end user to understand this.', 'start': 134.143, 'duration': 6.483}], 'summary': 'Business intelligence involves gathering data from various sources and bringing it to a common data warehouse for analysis and user understanding.', 'duration': 24.654, 'max_score': 115.972, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/3scD3llibJA/pics/3scD3llibJA115972.jpg'}, {'end': 219.25, 'src': 'embed', 'start': 195.762, 'weight': 1, 'content': [{'end': 202.464, 'text': 'So I need to extract the data from all these sources, transform it to my requirement and then load it into a data warehouse.', 'start': 195.762, 'duration': 6.702}, {'end': 207.366, 'text': "So this is what is the process that we're going to follow that is extract, transform and load.", 'start': 202.825, 'duration': 4.541}, {'end': 213.608, 'text': 'Now this is one of the techniques that business intelligence follows and is again one of the most widely used as well.', 'start': 207.906, 'duration': 5.702}, {'end': 219.25, 'text': "Moving forward, let's try to understand what exactly is extract, transform and load.", 'start': 214.468, 'duration': 4.782}], 'summary': 'Process involves extracting, transforming, and loading data into a data warehouse, a widely used business intelligence technique.', 'duration': 23.488, 'max_score': 195.762, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/3scD3llibJA/pics/3scD3llibJA195762.jpg'}, {'end': 293.436, 'src': 'heatmap', 'start': 246.482, 'weight': 2, 'content': [{'end': 249.303, 'text': "I'll only take the data that meets my requirement ahead.", 'start': 246.482, 'duration': 2.821}, {'end': 255.286, 'text': "Finally, I'm going to load it ahead into my enterprise data, data warehouse that is.", 'start': 249.823, 'duration': 5.463}, {'end': 261.128, 'text': 'Okay, so here I have the data from all the sources as well as the data that meets my requirement as such.', 'start': 255.586, 'duration': 5.542}, {'end': 267.844, 'text': "Let's now try to understand what exactly is Informatica Power Center 10.", 'start': 262.662, 'duration': 5.182}, {'end': 270.544, 'text': "Informatica is the market's leading data integration tool.", 'start': 267.844, 'duration': 2.7}, {'end': 276.146, 'text': 'Apart from being a data integration tool, it also lets you migrate your data from different data sources.', 'start': 271.045, 'duration': 5.101}, {'end': 281.388, 'text': 'It helps you integrate your application data, the data that is present in different application,', 'start': 276.526, 'duration': 4.862}, {'end': 284.949, 'text': 'as well as it helps you transform your data as per your requirement, as such.', 'start': 281.388, 'duration': 3.561}, {'end': 291.054, 'text': 'Now, talking about the various Informatica Power Center applications, these can be classified into two categories.', 'start': 285.549, 'duration': 5.505}, {'end': 293.436, 'text': 'The first would be an administrative tool.', 'start': 291.555, 'duration': 1.881}], 'summary': 'Informatica power center 10 is a leading data integration tool allowing migration and transformation from different data sources.', 'duration': 37.85, 'max_score': 246.482, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/3scD3llibJA/pics/3scD3llibJA246482.jpg'}, {'end': 530.122, 'src': 'embed', 'start': 487.11, 'weight': 4, 'content': [{'end': 492.792, 'text': "So always make sure before you're working with Informatica power center, the Informatica service is running in the background.", 'start': 487.11, 'duration': 5.682}, {'end': 504.176, 'text': "Okay I'm sorry about that.", 'start': 503.135, 'duration': 1.041}, {'end': 508.117, 'text': 'Okay So this is my Informatica power center administrative console.', 'start': 504.516, 'duration': 3.601}, {'end': 514.14, 'text': 'So here you can see that the service is presently not running.', 'start': 511.417, 'duration': 2.723}, {'end': 518.385, 'text': "So I'm going to start this.", 'start': 517.465, 'duration': 0.92}, {'end': 530.122, 'text': 'Okay And let me log into my administrative console.', 'start': 527.58, 'duration': 2.542}], 'summary': 'Informatica power center: service was not running, started from administrative console.', 'duration': 43.012, 'max_score': 487.11, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/3scD3llibJA/pics/3scD3llibJA487110.jpg'}, {'end': 591.298, 'src': 'embed', 'start': 567.226, 'weight': 5, 'content': [{'end': 574.563, 'text': "Now, remember how I told you what repository service was basically it's Basically, it's like your project folder.", 'start': 567.226, 'duration': 7.337}, {'end': 579.947, 'text': "So everything that you're going to be creating in Informatica is going to be stored in a database as well.", 'start': 574.863, 'duration': 5.084}, {'end': 587.454, 'text': "So repository service is basically the service which collects all the objects that you're creating and stores it in your database.", 'start': 580.308, 'duration': 7.146}, {'end': 591.298, 'text': "So let's say if you're working with a source, that would be considered as an object.", 'start': 587.794, 'duration': 3.504}], 'summary': 'Repository service stores all created objects in a database.', 'duration': 24.072, 'max_score': 567.226, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/3scD3llibJA/pics/3scD3llibJA567226.jpg'}], 'start': 100.532, 'title': 'Business intelligence and etl process', 'summary': 'Introduces business intelligence techniques and tools for data gathering, and explains the etl process, focusing on informatica power center, the leading data integration tool, and its essential services - the integration service and the repository service.', 'chapters': [{'end': 195.382, 'start': 100.532, 'title': 'Understanding business intelligence', 'summary': 'Introduces business intelligence as a set of techniques and tools for gathering data from various sources, bringing it onto a common platform, and performing analysis to provide insights for decision-making.', 'duration': 94.85, 'highlights': ['Business intelligence involves gathering data from different sources onto a common platform, such as a data warehouse, enabling various analyses for end users.', 'It simplifies the process of gathering data from diverse applications and sources, like SQL Server, SAP, Oracle, XML, and various file types, to perform required analysis operations.', 'Business intelligence facilitates the visualization of data to provide insights for decision-making, such as evaluating the performance of different departments based on gathered data from various sources.']}, {'end': 724.119, 'start': 195.762, 'title': 'Etl process and informatica power center', 'summary': 'Covers the etl process including extract, transform, and load, and explains the key components and functionalities of informatica power center, the leading data integration tool, used for managing data from various sources, and its essential services - the integration service and the repository service.', 'duration': 528.357, 'highlights': ['The ETL process involves extracting data from various sources, cleaning and transforming it, and then loading it into a data warehouse, a widely used technique in business intelligence.', "Informatica Power Center is the market's leading data integration tool, facilitating data migration from different sources and enabling data integration and transformation as per requirements.", 'The Informatica Power Center applications are classified into administrative tools and development tools, including the administrative console, repository manager, designer, workflow manager, and workflow monitor.', 'The administrative console is used for managing various services, creating new domain objects, configuring nodes, and handling operations like backup, restore, and data management.', 'The repository service collects and stores all the objects created in Informatica in a database, while the integration service is responsible for taking data from sources, performing specified operations, and storing it in the target database.']}], 'duration': 623.587, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/3scD3llibJA/pics/3scD3llibJA100532.jpg', 'highlights': ['Business intelligence simplifies data gathering from diverse applications and sources for analysis.', 'ETL process involves extracting, cleaning, transforming, and loading data into a data warehouse.', 'Informatica Power Center is the leading data integration tool for data migration and transformation.', 'Informatica Power Center includes administrative and development tools for managing and designing workflows.', 'The administrative console in Informatica Power Center is used for managing services and operations.', 'The repository service in Informatica Power Center stores all created objects in a database.']}, {'end': 1087.616, 'segs': [{'end': 806.74, 'src': 'embed', 'start': 763.499, 'weight': 0, 'content': [{'end': 766.982, 'text': 'process various transformations on this and finally store it into a data warehouse.', 'start': 763.499, 'duration': 3.483}, {'end': 774.146, 'text': 'future, anytime that i want, the data would be present in the data warehouse, from which i can create various data visualization.', 'start': 767.662, 'duration': 6.484}, {'end': 777.489, 'text': "now we'll break down this solution into four phases.", 'start': 774.146, 'duration': 3.343}, {'end': 782.632, 'text': "now. in our first phase, we'll be using informatica power center repository manager.", 'start': 777.489, 'duration': 5.143}, {'end': 790.457, 'text': "now here, basically, we're going to create a work folder and ensure that all the sources, transformations, mapping and workflow would be stored here.", 'start': 782.632, 'duration': 7.825}, {'end': 793.239, 'text': 'so let me go back to my remote desktop.', 'start': 790.457, 'duration': 2.782}, {'end': 801.074, 'text': 'Okay, and let me launch the Informatica Power Center repository manager.', 'start': 797.731, 'duration': 3.343}, {'end': 806.74, 'text': 'Now again, if any of you are actually trying looking to install Informatica,', 'start': 802.796, 'duration': 3.944}], 'summary': 'Utilize informatica power center to manage and store data for future visualizations in a data warehouse.', 'duration': 43.241, 'max_score': 763.499, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/3scD3llibJA/pics/3scD3llibJA763499.jpg'}, {'end': 854.541, 'src': 'embed', 'start': 827.905, 'weight': 2, 'content': [{'end': 832.989, 'text': 'So here again you can configure your various domains and then you can also configure your various repositories.', 'start': 827.905, 'duration': 5.084}, {'end': 839.755, 'text': "Now, it's not necessary that one domain should just have one repository, and it's something usually major.", 'start': 833.39, 'duration': 6.365}, {'end': 847.843, 'text': 'and usually in major practices, what happens is you have multiple repositories working when there are different teams working on different projects.', 'start': 839.755, 'duration': 8.088}, {'end': 850.866, 'text': 'So each project would be under a specific repository as such.', 'start': 848.103, 'duration': 2.763}, {'end': 854.541, 'text': "Okay, now I've already configured my repository.", 'start': 852.199, 'duration': 2.342}], 'summary': 'Configure multiple domains and repositories for different teams and projects.', 'duration': 26.636, 'max_score': 827.905, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/3scD3llibJA/pics/3scD3llibJA827905.jpg'}, {'end': 897.176, 'src': 'embed', 'start': 871.935, 'weight': 3, 'content': [{'end': 877.041, 'text': "So for today's session, what I'm going to do is that I'm going to call it live folder.", 'start': 871.935, 'duration': 5.106}, {'end': 883.405, 'text': 'okay, one thing you need to remember is that in naming convention of informatica you cannot use space.', 'start': 877.041, 'duration': 6.364}, {'end': 887.609, 'text': 'okay. so always remember that white space cannot be used in naming convention.', 'start': 883.405, 'duration': 4.204}, {'end': 891.111, 'text': "okay, so i'll just click on ok, and a new folder gets created.", 'start': 887.609, 'duration': 3.502}, {'end': 897.176, 'text': "now here there is nothing present as part of this folder, because if you go inside, there's this configuration folder present here.", 'start': 891.111, 'duration': 6.065}], 'summary': "Informatica session: creating 'live folder' with no white spaces. new folder created.", 'duration': 25.241, 'max_score': 871.935, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/3scD3llibJA/pics/3scD3llibJA871935.jpg'}, {'end': 1005.012, 'src': 'embed', 'start': 959.508, 'weight': 5, 'content': [{'end': 965.949, 'text': 'So, let me go back to my Informatica repository manager and launch the Informatica Power Center Designer.', 'start': 959.508, 'duration': 6.441}, {'end': 968.87, 'text': 'Now, there are two ways that I can approach this.', 'start': 966.429, 'duration': 2.441}, {'end': 976.372, 'text': 'I can either go back to my start option and launch Informatica Power Center Designer from there or I can actually launch it from here.', 'start': 969.07, 'duration': 7.302}, {'end': 981.393, 'text': 'Now, Informatica provides you this option of quick launching of each of its tools.', 'start': 976.812, 'duration': 4.581}, {'end': 987.354, 'text': 'So, if I click on the designer option present here, it will automatically launch Informatica Power Center Designer.', 'start': 981.873, 'duration': 5.481}, {'end': 992.101, 'text': 'So this is my Informatica Power Center Designer.', 'start': 989.639, 'duration': 2.462}, {'end': 996.024, 'text': "Okay, now I'll just give you a brief overview with respect to how this works.", 'start': 992.541, 'duration': 3.483}, {'end': 1004.391, 'text': 'So, to your left, you have the navigation panel wherein you can find the different folders for both sources targets, cubes, dimensions,', 'start': 996.345, 'duration': 8.046}, {'end': 1005.012, 'text': 'transformations.', 'start': 1004.391, 'duration': 0.621}], 'summary': 'Informatica power center designer allows quick launching of tools and organizes folders for sources, targets, cubes, dimensions, and transformations.', 'duration': 45.504, 'max_score': 959.508, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/3scD3llibJA/pics/3scD3llibJA959508.jpg'}, {'end': 1053.73, 'src': 'embed', 'start': 1027.145, 'weight': 4, 'content': [{'end': 1030.848, 'text': 'Now there are mainly five workspace in Informatica power center designer.', 'start': 1027.145, 'duration': 3.703}, {'end': 1033.653, 'text': "We'll be mainly working with three as part of this session.", 'start': 1031.21, 'duration': 2.443}, {'end': 1036.316, 'text': 'The first is source analyzer workspace.', 'start': 1034.073, 'duration': 2.243}, {'end': 1040.88, 'text': 'Here basically any operation that you wish to perform with your source can be done.', 'start': 1036.736, 'duration': 4.144}, {'end': 1046.503, 'text': "So let's say you want to load your source, you want to modify it or make or remove specific rows from a source as well.", 'start': 1041.46, 'duration': 5.043}, {'end': 1053.73, 'text': 'Every of those option would be done here because moving further you cannot manipulate the source details in any of the other workspaces.', 'start': 1046.924, 'duration': 6.806}], 'summary': 'Informatica power center designer has five workspaces, with primary focus on three including source analyzer for source operations.', 'duration': 26.585, 'max_score': 1027.145, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/3scD3llibJA/pics/3scD3llibJA1027145.jpg'}], 'start': 724.119, 'title': 'Using informatica power center', 'summary': 'Covers the informatica power center, its tools, and usage of repository manager, loading, and transforming retail data for data warehousing. it also explains configuring repositories, managing projects, and the overview of the informatica power center designer with an emphasis on different components and operations.', 'chapters': [{'end': 827.524, 'start': 724.119, 'title': 'Informatica power center overview', 'summary': 'Introduces the informatica power center and its tools, focusing on the usage of the repository manager and the process of loading and transforming retail data for data warehousing and visualization.', 'duration': 103.405, 'highlights': ['The process involves loading retail data into Informatica Power Center, performing transformations, and storing it in a data warehouse for future data visualization.', 'The chapter explains the usage of Informatica Power Center repository manager to create work folders and store sources, transformations, mappings, and workflows.', 'The chapter introduces the tools of Informatica Power Center: repository manager, designer, workflow manager, and workflow monitor.']}, {'end': 959.028, 'start': 827.905, 'title': 'Configuring repositories and managing projects', 'summary': 'Explains how to configure repositories for multiple projects in informatica, emphasizing the importance of naming conventions and demonstrating the process of creating a work folder, analyzing dependencies, and creating a mapping for loading source definitions and connecting transformations.', 'duration': 131.123, 'highlights': ['Configuring multiple repositories for different projects with the Informatica repository manager, each project under a specific repository, is common practice in major organizations.', 'The importance of adhering to naming conventions in Informatica, specifically not using white space, is emphasized to ensure proper folder and object creation.', 'The process of creating a work folder, analyzing dependencies, and searching for specific mappings or sources is demonstrated in the repository manager, essential for administrators and project leaders.', 'The detailed process of creating a mapping in Informatica, including loading source definitions, adding transformations, creating target definitions, and connecting them, is explained for the second phase of the project.']}, {'end': 1087.616, 'start': 959.508, 'title': 'Informatica power center overview', 'summary': 'Provides an overview of the informatica power center designer, explaining its components including the navigation panel, workspace, and quick launch options, and how different operations are performed in the source analyzer, target designer, and mapping designer workspaces.', 'duration': 128.108, 'highlights': ['Informatica Power Center Designer has five workspaces, with the source analyzer, target designer, and mapping designer being the most important for various operations. Informatica Power Center Designer has five workspaces, with the source analyzer, target designer, and mapping designer being the most important for various operations.', 'The navigation panel in Informatica Power Center Designer contains different folders for sources, targets, cubes, dimensions, and transformations, storing created objects inside corresponding folders. The navigation panel in Informatica Power Center Designer contains different folders for sources, targets, cubes, dimensions, and transformations, storing created objects inside corresponding folders.', 'The output for any operation performed in Informatica Power Center Designer is present in the bottom pane of the workspace. The output for any operation performed in Informatica Power Center Designer is present in the bottom pane of the workspace.', 'Users have the option of quick launching each of the Informatica tools from the start option or directly from the Informatica repository manager. Users have the option of quick launching each of the Informatica tools from the start option or directly from the Informatica repository manager.', 'In Informatica Power Center Designer, operations related to source, target, and mapping are performed in the source analyzer, target designer, and mapping designer workspaces respectively. In Informatica Power Center Designer, operations related to source, target, and mapping are performed in the source analyzer, target designer, and mapping designer workspaces respectively.']}], 'duration': 363.497, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/3scD3llibJA/pics/3scD3llibJA724119.jpg', 'highlights': ['The process involves loading retail data into Informatica Power Center, performing transformations, and storing it in a data warehouse for future data visualization.', 'The chapter explains the usage of Informatica Power Center repository manager to create work folders and store sources, transformations, mappings, and workflows.', 'Configuring multiple repositories for different projects with the Informatica repository manager, each project under a specific repository, is common practice in major organizations.', 'The importance of adhering to naming conventions in Informatica, specifically not using white space, is emphasized to ensure proper folder and object creation.', 'Informatica Power Center Designer has five workspaces, with the source analyzer, target designer, and mapping designer being the most important for various operations.', 'The navigation panel in Informatica Power Center Designer contains different folders for sources, targets, cubes, dimensions, and transformations, storing created objects inside corresponding folders.', 'The output for any operation performed in Informatica Power Center Designer is present in the bottom pane of the workspace.', 'Users have the option of quick launching each of the Informatica tools from the start option or directly from the Informatica repository manager.']}, {'end': 1923.174, 'segs': [{'end': 1253.262, 'src': 'embed', 'start': 1224.978, 'weight': 0, 'content': [{'end': 1228, 'text': "So we'll be loading this completely to our Informatica Power Center.", 'start': 1224.978, 'duration': 3.022}, {'end': 1236.33, 'text': 'Now again, with respect to the capability of Informatica Power Center, it can process thousands of rows in just minutes.', 'start': 1230.526, 'duration': 5.804}, {'end': 1241.314, 'text': "Now we'll be seeing how effective and useful it is while we are executing this mapping as well.", 'start': 1236.65, 'duration': 4.664}, {'end': 1244.456, 'text': 'Okay, so I have loaded my customer data base.', 'start': 1241.874, 'duration': 2.582}, {'end': 1250.64, 'text': 'Now let me load it from, let me load my product as well as transaction details from a flat file.', 'start': 1244.916, 'duration': 5.724}, {'end': 1253.262, 'text': 'So let me click on sources and import from file.', 'start': 1250.78, 'duration': 2.482}], 'summary': 'Informatica power center can process thousands of rows in just minutes, making it effective and useful for executing mapping.', 'duration': 28.284, 'max_score': 1224.978, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/3scD3llibJA/pics/3scD3llibJA1224978.jpg'}, {'end': 1311.714, 'src': 'embed', 'start': 1287.903, 'weight': 1, 'content': [{'end': 1297.902, 'text': 'what you basically need to do is that ensure which type flat file it is and then ensure that you have clicked import field names from the first line,', 'start': 1287.903, 'duration': 9.999}, {'end': 1302.585, 'text': 'because this helps Informatica understand the headers for the table.', 'start': 1297.902, 'duration': 4.683}, {'end': 1304.407, 'text': "okay, once you've done with this, click on next.", 'start': 1302.585, 'duration': 1.822}, {'end': 1311.714, 'text': "Now, in the second step, basically you need to specify whether it's using a text qualifier or if it's using a delimiter.", 'start': 1305.731, 'duration': 5.983}], 'summary': 'Specify flat file type, import field names, and choose text qualifier or delimiter.', 'duration': 23.811, 'max_score': 1287.903, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/3scD3llibJA/pics/3scD3llibJA1287903.jpg'}, {'end': 1457.951, 'src': 'heatmap', 'start': 1379.723, 'weight': 1, 'content': [{'end': 1381.845, 'text': 'So this is how Informatica differentiates these.', 'start': 1379.723, 'duration': 2.122}, {'end': 1391.779, 'text': 'okay, now let me bring in all the sources.', 'start': 1389.457, 'duration': 2.322}, {'end': 1393.58, 'text': 'let me bring in the product table.', 'start': 1391.779, 'duration': 1.801}, {'end': 1394.221, 'text': 'let me.', 'start': 1393.58, 'duration': 0.641}, {'end': 1397.163, 'text': 'so first thing i need to do is set the name for my mapping.', 'start': 1394.221, 'duration': 2.942}, {'end': 1399.645, 'text': 'now again, by convention, you follow.', 'start': 1397.163, 'duration': 2.482}, {'end': 1403.748, 'text': 'you start every mapping with a small m, followed by the name of the mapping.', 'start': 1399.645, 'duration': 4.103}, {'end': 1405.669, 'text': 'again, no white spaces here.', 'start': 1403.748, 'duration': 1.921}, {'end': 1408.971, 'text': 'so live m underscore, live as such.', 'start': 1405.669, 'duration': 3.302}, {'end': 1412.214, 'text': 'so click on ok, and we are going to create a mapping.', 'start': 1408.971, 'duration': 3.243}, {'end': 1416.783, 'text': 'now. You see when I had only just one source definition.', 'start': 1412.214, 'duration': 4.569}, {'end': 1418.063, 'text': 'now something new has been added.', 'start': 1416.783, 'duration': 1.28}, {'end': 1422.445, 'text': 'This is basically a transformation that Informatica automatically creates.', 'start': 1418.644, 'duration': 3.801}, {'end': 1426.386, 'text': 'So this transformation is called source qualifier transformation.', 'start': 1423.285, 'duration': 3.101}, {'end': 1431.448, 'text': "This gets created whenever you're working with either a relational table or a flat file source.", 'start': 1426.806, 'duration': 4.642}, {'end': 1440.651, 'text': 'Basically what it does here is that it converts this data types of these relational tables into Informatica supported data types.', 'start': 1432.188, 'duration': 8.463}, {'end': 1442.652, 'text': "I'll just show you the difference here.", 'start': 1441.572, 'duration': 1.08}, {'end': 1457.951, 'text': 'okay, just notice here where my product ID initially was of type number.', 'start': 1453.547, 'duration': 4.404}], 'summary': 'Informatica creates source qualifier transformation for relational or flat file sources to convert data types.', 'duration': 78.228, 'max_score': 1379.723, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/3scD3llibJA/pics/3scD3llibJA1379723.jpg'}, {'end': 1440.651, 'src': 'embed', 'start': 1412.214, 'weight': 2, 'content': [{'end': 1416.783, 'text': 'now. You see when I had only just one source definition.', 'start': 1412.214, 'duration': 4.569}, {'end': 1418.063, 'text': 'now something new has been added.', 'start': 1416.783, 'duration': 1.28}, {'end': 1422.445, 'text': 'This is basically a transformation that Informatica automatically creates.', 'start': 1418.644, 'duration': 3.801}, {'end': 1426.386, 'text': 'So this transformation is called source qualifier transformation.', 'start': 1423.285, 'duration': 3.101}, {'end': 1431.448, 'text': "This gets created whenever you're working with either a relational table or a flat file source.", 'start': 1426.806, 'duration': 4.642}, {'end': 1440.651, 'text': 'Basically what it does here is that it converts this data types of these relational tables into Informatica supported data types.', 'start': 1432.188, 'duration': 8.463}], 'summary': 'Informatica automatically creates source qualifier transformation for relational or flat file sources, converting data types.', 'duration': 28.437, 'max_score': 1412.214, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/3scD3llibJA/pics/3scD3llibJA1412214.jpg'}, {'end': 1539.464, 'src': 'embed', 'start': 1515.376, 'weight': 4, 'content': [{'end': 1521.798, 'text': 'So again, see the same, I had loaded a relational table from my database and I had loaded two flat files.', 'start': 1515.376, 'duration': 6.422}, {'end': 1525.119, 'text': 'So for all of these, the source qualifier transformation is created.', 'start': 1521.858, 'duration': 3.261}, {'end': 1530.761, 'text': 'Now this is really helpful when you want to process the data before you perform any operations on this.', 'start': 1525.579, 'duration': 5.182}, {'end': 1534.682, 'text': "Let's say there are two tables that are coming from the same database and I want to join them.", 'start': 1531.301, 'duration': 3.381}, {'end': 1539.464, 'text': 'I can do that using the source qualifier transformation without using any other transformation here.', 'start': 1535.082, 'duration': 4.382}], 'summary': 'Using source qualifier transformation to join tables from the same database without any other transformations.', 'duration': 24.088, 'max_score': 1515.376, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/3scD3llibJA/pics/3scD3llibJA1515376.jpg'}, {'end': 1592.498, 'src': 'heatmap', 'start': 1515.376, 'weight': 0.934, 'content': [{'end': 1521.798, 'text': 'So again, see the same, I had loaded a relational table from my database and I had loaded two flat files.', 'start': 1515.376, 'duration': 6.422}, {'end': 1525.119, 'text': 'So for all of these, the source qualifier transformation is created.', 'start': 1521.858, 'duration': 3.261}, {'end': 1530.761, 'text': 'Now this is really helpful when you want to process the data before you perform any operations on this.', 'start': 1525.579, 'duration': 5.182}, {'end': 1534.682, 'text': "Let's say there are two tables that are coming from the same database and I want to join them.", 'start': 1531.301, 'duration': 3.381}, {'end': 1539.464, 'text': 'I can do that using the source qualifier transformation without using any other transformation here.', 'start': 1535.082, 'duration': 4.382}, {'end': 1544.686, 'text': 'Okay, just go inside the source qualifier transformation and you have the option to edit the transformation.', 'start': 1540.004, 'duration': 4.682}, {'end': 1548.287, 'text': 'Now, once you double click on any transformation, you can modify this.', 'start': 1545.006, 'duration': 3.281}, {'end': 1555.15, 'text': 'Now, if you go into the ports option, this tells you the different ports or the column numbers which are associated from the source.', 'start': 1548.947, 'duration': 6.203}, {'end': 1558.471, 'text': 'Okay, so any operation that you want to change here can also be done.', 'start': 1555.77, 'duration': 2.701}, {'end': 1562.973, 'text': 'Now, coming to the statement of joining two tables, that can be done here.', 'start': 1559.011, 'duration': 3.962}, {'end': 1567.719, 'text': "okay. so let's say i have two tables and i want to specify a join condition.", 'start': 1563.453, 'duration': 4.266}, {'end': 1569.962, 'text': 'with respect to, that is the user defined chart.', 'start': 1567.719, 'duration': 2.243}, {'end': 1574.548, 'text': 'so i can just click on this arrow mark and then it will help me specify which column to add.', 'start': 1569.962, 'duration': 4.586}, {'end': 1583.408, 'text': 'now, since transaction is a flat file, i cannot do that, so let me go down to my customer table and just show you an example, Okay.', 'start': 1574.548, 'duration': 8.86}, {'end': 1586.672, 'text': 'So you can see here, the user defined join field is open here.', 'start': 1583.428, 'duration': 3.244}, {'end': 1592.498, 'text': 'So click on this arrow mark, and then I can actually choose the port based on which I want to join these tables.', 'start': 1586.692, 'duration': 5.806}], 'summary': 'Using source qualifier transformation to join tables and modify data, for efficient processing.', 'duration': 77.122, 'max_score': 1515.376, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/3scD3llibJA/pics/3scD3llibJA1515376.jpg'}, {'end': 1788.931, 'src': 'embed', 'start': 1762.762, 'weight': 3, 'content': [{'end': 1767.366, 'text': 'Now, only one transformation or one source definition has been linked to my joiner transformation.', 'start': 1762.762, 'duration': 4.604}, {'end': 1769.487, 'text': "It's time I link the second one.", 'start': 1767.866, 'duration': 1.621}, {'end': 1773.35, 'text': 'So again, select all, drag it and drop it.', 'start': 1769.567, 'duration': 3.783}, {'end': 1782.268, 'text': "Okay, now I've created a connection between my source to my joiner transformation.", 'start': 1777.386, 'duration': 4.882}, {'end': 1784.009, 'text': 'But my job is not done here.', 'start': 1782.628, 'duration': 1.381}, {'end': 1788.931, 'text': 'I need to still specify the condition based on which these data has to get joined.', 'start': 1784.449, 'duration': 4.482}], 'summary': 'Link second source to joiner transformation and specify join condition.', 'duration': 26.169, 'max_score': 1762.762, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/3scD3llibJA/pics/3scD3llibJA1762762.jpg'}], 'start': 1088.257, 'title': 'Informatica data import and source qualifier transformation', 'summary': 'Covers the process of importing data into informatica power center, including connecting to the database, importing a customer table with 10,000 entries, and loading multiple source files. it also explains the source qualifier transformation in informatica, its role in converting data types, and the process of joining and filtering data, ultimately simplifying and enhancing data processing.', 'chapters': [{'end': 1412.214, 'start': 1088.257, 'title': 'Informatica data import and mapping process', 'summary': "Covers the process of importing data from a database and flat file into informatica power center, including connecting to the database, importing customer table with 10,000 entries, and loading multiple source files. informatica power center's capability of processing thousands of rows in just minutes and the step-by-step process of importing and creating a mapping are also highlighted.", 'duration': 323.957, 'highlights': ['Importing Customer Table with 10,000 Entries The user demonstrates importing a customer table with 10,000 entries from the database into Informatica Power Center, showcasing the scale of data being handled.', "Informatica Power Center's Processing Capability The chapter highlights the capability of Informatica Power Center, emphasizing its ability to process thousands of rows in just minutes, showcasing its efficiency and usefulness in handling large datasets.", 'Step-by-Step Process of Importing and Creating a Mapping The detailed step-by-step process of importing data from a flat file into Informatica Power Center, including specifying file type, delimiter, text qualifier, and data type, is demonstrated, showcasing the meticulous approach to data import and mapping creation.']}, {'end': 1923.174, 'start': 1412.214, 'title': 'Informatica source qualifier transformation', 'summary': 'Explains how the source qualifier transformation in informatica automatically converts data types of relational tables into supported informatica data types, aiding in integrating data from different sources and performing operations like joining and filtering, ultimately simplifying and enhancing data processing. it also discusses the process of joining two tables, the creation of a joiner transformation, and the specification of join conditions.', 'duration': 510.96, 'highlights': ['The source qualifier transformation in Informatica automatically converts data types of relational tables into supported Informatica data types, aiding in integrating data from different sources and performing operations like joining and filtering, ultimately simplifying and enhancing data processing. The source qualifier transformation automatically converts data types of relational tables into supported Informatica data types, facilitating integration of data from different sources and operations like joining and filtering.', 'The process of joining two tables, the creation of a joiner transformation, and the specification of join conditions. It explains the process of joining two tables, creating a joiner transformation, and specifying join conditions for data integration.', 'The chapter discusses how the source qualifier transformation is created for relational tables and flat file sources, aiding in processing data before performing any operations and facilitating the joining of tables from the same database. The source qualifier transformation is created for relational tables and flat file sources, facilitating data processing, and enabling the joining of tables from the same database.']}], 'duration': 834.917, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/3scD3llibJA/pics/3scD3llibJA1088257.jpg', 'highlights': ["Informatica Power Center's Processing Capability The chapter highlights the capability of Informatica Power Center, emphasizing its ability to process thousands of rows in just minutes, showcasing its efficiency and usefulness in handling large datasets.", 'The detailed step-by-step process of importing data from a flat file into Informatica Power Center, including specifying file type, delimiter, text qualifier, and data type, is demonstrated, showcasing the meticulous approach to data import and mapping creation.', 'The source qualifier transformation in Informatica automatically converts data types of relational tables into supported Informatica data types, aiding in integrating data from different sources and performing operations like joining and filtering, ultimately simplifying and enhancing data processing.', 'The process of joining two tables, the creation of a joiner transformation, and the specification of join conditions. It explains the process of joining two tables, creating a joiner transformation, and specifying join conditions for data integration.', 'The chapter discusses how the source qualifier transformation is created for relational tables and flat file sources, aiding in processing data before performing any operations and facilitating the joining of tables from the same database.', 'Importing Customer Table with 10,000 Entries The user demonstrates importing a customer table with 10,000 entries from the database into Informatica Power Center, showcasing the scale of data being handled.']}, {'end': 2501.357, 'segs': [{'end': 1995.063, 'src': 'embed', 'start': 1966.292, 'weight': 4, 'content': [{'end': 1968.893, 'text': 'Similarly in the joiner transformation also you have that.', 'start': 1966.292, 'duration': 2.601}, {'end': 1970.173, 'text': 'So just double click here.', 'start': 1969.173, 'duration': 1}, {'end': 1971.874, 'text': 'Let me go back to my properties.', 'start': 1970.233, 'duration': 1.641}, {'end': 1974.795, 'text': 'So here you have the join types option.', 'start': 1972.634, 'duration': 2.161}, {'end': 1979.957, 'text': 'Okay You can either have a normal join, master outer join, detail outer join and full outer join.', 'start': 1974.935, 'duration': 5.022}, {'end': 1982.578, 'text': 'Basically your left join, right join.', 'start': 1980.377, 'duration': 2.201}, {'end': 1984.779, 'text': 'Okay So this is how it has classified it.', 'start': 1982.958, 'duration': 1.821}, {'end': 1987.98, 'text': "So we're not going to change with respect to the type of join.", 'start': 1985.219, 'duration': 2.761}, {'end': 1995.063, 'text': 'Okay So clearly here, I hope you guys find it quite interesting.', 'start': 1991.662, 'duration': 3.401}], 'summary': 'The joiner transformation provides options for normal join, master outer join, detail outer join, and full outer join, which are equivalent to left join and right join.', 'duration': 28.771, 'max_score': 1966.292, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/3scD3llibJA/pics/3scD3llibJA1966292.jpg'}, {'end': 2049.551, 'src': 'embed', 'start': 2020.364, 'weight': 0, 'content': [{'end': 2028.866, 'text': 'Basically, the restriction with the joiner transformation is that you can only join two sources or two inputs from through joiner transformation.', 'start': 2020.364, 'duration': 8.502}, {'end': 2033.927, 'text': "Okay So with the second joiner, I'm going to join these two, these three tables as such.", 'start': 2028.946, 'duration': 4.981}, {'end': 2041.307, 'text': "Okay, so here first I'll bring my customer details, select all, drag it and drop it.", 'start': 2036.345, 'duration': 4.962}, {'end': 2049.551, 'text': 'Similarly, let me select everything from here and drag and drop it to my second joiner transformation.', 'start': 2043.228, 'duration': 6.323}], 'summary': 'Restriction: joiner transformation can only join two sources or two inputs.', 'duration': 29.187, 'max_score': 2020.364, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/3scD3llibJA/pics/3scD3llibJA2020364.jpg'}, {'end': 2197.303, 'src': 'embed', 'start': 2165.533, 'weight': 3, 'content': [{'end': 2169.545, 'text': 'So this becomes a highly detailed data.', 'start': 2165.533, 'duration': 4.012}, {'end': 2174.308, 'text': "so let's say I want to filter it or group it with respect to the customer details.", 'start': 2169.545, 'duration': 4.763}, {'end': 2179.49, 'text': "for that, what I'm going to do is that I'm going to create a new transformation known as aggregation transformation.", 'start': 2174.308, 'duration': 5.182}, {'end': 2184.872, 'text': 'now, aggregation transformation, basically, as the name suggests, helps you perform various aggregation operation.', 'start': 2179.49, 'duration': 5.382}, {'end': 2190.615, 'text': "so here I'm just going to click on aggregation transformation and then again click in the workspace.", 'start': 2184.872, 'duration': 5.743}, {'end': 2197.303, 'text': 'so here I have an aggregation transformation created To this.', 'start': 2190.615, 'duration': 6.688}], 'summary': 'Creating an aggregation transformation to perform various aggregation operations.', 'duration': 31.77, 'max_score': 2165.533, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/3scD3llibJA/pics/3scD3llibJA2165533.jpg'}, {'end': 2364.12, 'src': 'embed', 'start': 2336.207, 'weight': 1, 'content': [{'end': 2340.612, 'text': 'We have taken the details of our transaction and joined them based on the product ID.', 'start': 2336.207, 'duration': 4.405}, {'end': 2343.096, 'text': 'After that, we bought in the details of the customer.', 'start': 2341.133, 'duration': 1.963}, {'end': 2348.731, 'text': "And then we've joined the earlier details with the customer details as well.", 'start': 2344.508, 'duration': 4.223}, {'end': 2354.574, 'text': "Finally, I've created an aggregator transformation based on which this data is going to be grouped.", 'start': 2349.171, 'duration': 5.403}, {'end': 2358.236, 'text': 'Finally, I need to create a target definition.', 'start': 2355.494, 'duration': 2.742}, {'end': 2361.618, 'text': 'Target definition basically is where my target has to be stored.', 'start': 2358.736, 'duration': 2.882}, {'end': 2364.12, 'text': 'Now again, there are two ways to approach this.', 'start': 2361.958, 'duration': 2.162}], 'summary': 'Transactions and customer details joined, aggregated, and stored in target definition.', 'duration': 27.913, 'max_score': 2336.207, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/3scD3llibJA/pics/3scD3llibJA2336207.jpg'}, {'end': 2447.243, 'src': 'heatmap', 'start': 2368.402, 'weight': 0.736, 'content': [{'end': 2370.524, 'text': "Now, that's a very tedious work that I have to follow.", 'start': 2368.402, 'duration': 2.122}, {'end': 2372.986, 'text': "Rather than that, I'm going to take the second approach.", 'start': 2370.924, 'duration': 2.062}, {'end': 2378.572, 'text': 'This basically is modeling the target definition based on a transformation I have already created.', 'start': 2373.467, 'duration': 5.105}, {'end': 2380.694, 'text': 'Now, there are two advantages of this.', 'start': 2379.052, 'duration': 1.642}, {'end': 2385.298, 'text': 'Firstly, it reduces my work of designing the structure of my target table.', 'start': 2381.194, 'duration': 4.104}, {'end': 2392.305, 'text': 'Secondly, it copies all the columns as well as data types, precisions associated in the transformation.', 'start': 2385.759, 'duration': 6.546}, {'end': 2394.887, 'text': "Now rather than telling this, let me show you how it's done.", 'start': 2392.725, 'duration': 2.162}, {'end': 2402.832, 'text': 'So if you want to model a target definition based on any transformation, right click the transformation and go to the option of create and add target.', 'start': 2395.307, 'duration': 7.525}, {'end': 2407.575, 'text': 'Once you click on this, a target definition gets created based on the transformation.', 'start': 2403.472, 'duration': 4.103}, {'end': 2416.015, 'text': "Okay So if you notice here, it's almost the same as my aggregated transformation.", 'start': 2408.796, 'duration': 7.219}, {'end': 2421.4, 'text': 'But if you see, I had unchecked the option for customer ID one, so that is not present here.', 'start': 2416.375, 'duration': 5.025}, {'end': 2424.163, 'text': 'Now, I wanna modify this target definition.', 'start': 2422.021, 'duration': 2.142}, {'end': 2425.684, 'text': 'Now, if you remember, I had mentioned,', 'start': 2424.223, 'duration': 1.461}, {'end': 2433.272, 'text': 'you cannot manipulate the source definition or the target definition in any other workspace apart from their respective workspaces.', 'start': 2425.684, 'duration': 7.588}, {'end': 2436.616, 'text': "So let's say, I want to make any changes.", 'start': 2433.772, 'duration': 2.844}, {'end': 2440.559, 'text': 'Then I need to go to the target analyzer target designer workspace.', 'start': 2437.136, 'duration': 3.423}, {'end': 2443.461, 'text': 'Again, for helping you understand, let me double click this.', 'start': 2441.059, 'duration': 2.402}, {'end': 2447.243, 'text': 'And if you go to the ports option, you cannot modify any of this present here.', 'start': 2443.641, 'duration': 3.602}], 'summary': 'Model target definition based on transformation, reduces work, copies columns and data types.', 'duration': 78.841, 'max_score': 2368.402, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/3scD3llibJA/pics/3scD3llibJA2368402.jpg'}, {'end': 2407.575, 'src': 'embed', 'start': 2379.052, 'weight': 5, 'content': [{'end': 2380.694, 'text': 'Now, there are two advantages of this.', 'start': 2379.052, 'duration': 1.642}, {'end': 2385.298, 'text': 'Firstly, it reduces my work of designing the structure of my target table.', 'start': 2381.194, 'duration': 4.104}, {'end': 2392.305, 'text': 'Secondly, it copies all the columns as well as data types, precisions associated in the transformation.', 'start': 2385.759, 'duration': 6.546}, {'end': 2394.887, 'text': "Now rather than telling this, let me show you how it's done.", 'start': 2392.725, 'duration': 2.162}, {'end': 2402.832, 'text': 'So if you want to model a target definition based on any transformation, right click the transformation and go to the option of create and add target.', 'start': 2395.307, 'duration': 7.525}, {'end': 2407.575, 'text': 'Once you click on this, a target definition gets created based on the transformation.', 'start': 2403.472, 'duration': 4.103}], 'summary': 'Advantages: reduces work, copies columns and data types, allows easy target definition creation.', 'duration': 28.523, 'max_score': 2379.052, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/3scD3llibJA/pics/3scD3llibJA2379052.jpg'}], 'start': 1923.174, 'title': 'Data integration and transformation', 'summary': 'Covers the configuration of joiner transformation for integrating data from multiple tables and the process of transforming and aggregating data, including creating an aggregation transformation to group data by customer id and modeling a target definition based on a transformation.', 'chapters': [{'end': 2105.256, 'start': 1923.174, 'title': 'Joiner transformation for data integration', 'summary': 'Illustrates the configuration of a joiner transformation to integrate data from multiple tables, discussing the types of join operations available and demonstrating the selection of input and output ports, with a focus on joining three tables through two separate joiner transformations.', 'duration': 182.082, 'highlights': ['The speaker explains the process of configuring a joiner transformation to integrate data from two tables based on a specific condition, ensuring that only the required select port is designated as output. The speaker demonstrates the configuration of a joiner transformation to join data from two tables based on the condition that the product ID from the product table is equal to the product ID from the transaction table, ensuring that only the specified select port is designated as the output.', 'The speaker discusses the types of join operations available, comparing SQL join operations with those in the joiner transformation, and explains the classification of join types such as normal join, master outer join, detail outer join, and full outer join. The speaker explains the types of join operations available, comparing SQL join operations with those in the joiner transformation, and discusses the classification of join types such as normal join, master outer join, detail outer join, and full outer join.', 'The speaker demonstrates the use of two separate joiner transformations to join three tables due to the restriction that a joiner transformation can only join two sources, emphasizing the selection of input and output ports and the removal of unnecessary columns to prevent data inconsistency. The speaker demonstrates the use of two separate joiner transformations to join three tables due to the limitation that a joiner transformation can only join two sources, emphasizing the selection of input and output ports and the removal of unnecessary columns to prevent data inconsistency.']}, {'end': 2501.357, 'start': 2108.817, 'title': 'Data transformation and aggregation', 'summary': 'Covers the process of transforming and aggregating data, including joining product and customer details, creating an aggregation transformation to group data by customer id, and modeling a target definition based on a transformation, reducing work and copying column structures and data types.', 'duration': 392.54, 'highlights': ['The process of transforming and aggregating data The chapter explains the step-by-step process of transforming and aggregating data, involving joining product and customer details, creating an aggregation transformation, and modeling a target definition.', 'Creating an aggregation transformation to group data by customer ID The process involves creating an aggregation transformation to group data by customer ID, ensuring that the data is grouped based on the unique customer ID, thereby allowing various aggregation operations to be performed.', 'Modeling a target definition based on a transformation, reducing work and copying column structures and data types The chapter demonstrates the approach of modeling a target definition based on a transformation, which reduces the workload of designing the target table structure and copies all the columns, data types, and precisions associated with the transformation.']}], 'duration': 578.183, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/3scD3llibJA/pics/3scD3llibJA1923174.jpg', 'highlights': ['The speaker explains the process of configuring a joiner transformation to integrate data from two tables based on a specific condition, ensuring that only the required select port is designated as output.', 'The process of transforming and aggregating data involves joining product and customer details, creating an aggregation transformation, and modeling a target definition.', 'The speaker demonstrates the use of two separate joiner transformations to join three tables due to the restriction that a joiner transformation can only join two sources, emphasizing the selection of input and output ports and the removal of unnecessary columns to prevent data inconsistency.', 'Creating an aggregation transformation to group data by customer ID involves ensuring that the data is grouped based on the unique customer ID, thereby allowing various aggregation operations to be performed.', 'The speaker discusses the types of join operations available, comparing SQL join operations with those in the joiner transformation, and explains the classification of join types such as normal join, master outer join, detail outer join, and full outer join.', 'Modeling a target definition based on a transformation reduces the workload of designing the target table structure and copies all the columns, data types, and precisions associated with the transformation.']}, {'end': 3488.597, 'segs': [{'end': 2528.749, 'src': 'embed', 'start': 2501.897, 'weight': 2, 'content': [{'end': 2506.085, 'text': 'If you click on advance, you have the option of even specifying what the delimiter should be.', 'start': 2501.897, 'duration': 4.188}, {'end': 2512.036, 'text': "Okay. So let's say if you want to make any changes with respect to the columns,", 'start': 2508.229, 'duration': 3.807}, {'end': 2518.863, 'text': "let's say you want to change the name of the column or if you want to set the column to be key, all the operations can be done here.", 'start': 2512.036, 'duration': 6.827}, {'end': 2522.345, 'text': 'So basically this is a workspace where you can modify your target definition.', 'start': 2519.183, 'duration': 3.162}, {'end': 2524.786, 'text': "So I'm not going to make any changes with respect to this.", 'start': 2522.685, 'duration': 2.101}, {'end': 2526.688, 'text': "I'll just click on apply, click on okay.", 'start': 2524.907, 'duration': 1.781}, {'end': 2528.749, 'text': 'And we have our updated target definition.', 'start': 2527.048, 'duration': 1.701}], 'summary': 'Modify target definition with specified delimiter and operations, then apply changes.', 'duration': 26.852, 'max_score': 2501.897, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/3scD3llibJA/pics/3scD3llibJA2501897.jpg'}, {'end': 2572.07, 'src': 'embed', 'start': 2546.485, 'weight': 3, 'content': [{'end': 2553.234, 'text': 'Okay, so finally what I need to do is that I need to close this data flow.', 'start': 2546.485, 'duration': 6.749}, {'end': 2557.92, 'text': 'So for that I need to link this aggregator transformation to my target definition.', 'start': 2553.674, 'duration': 4.246}, {'end': 2563.887, 'text': 'Again I can either select all and then join it or right click and then I have the option of auto link.', 'start': 2558.48, 'duration': 5.407}, {'end': 2569.59, 'text': 'auto link basically helps you link two transformations and complete your flow.', 'start': 2564.748, 'duration': 4.842}, {'end': 2572.07, 'text': "now here it's asking me from which transformation.", 'start': 2569.59, 'duration': 2.48}], 'summary': 'Closing data flow by linking aggregator transformation to target definition using auto link option.', 'duration': 25.585, 'max_score': 2546.485, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/3scD3llibJA/pics/3scD3llibJA2546485.jpg'}, {'end': 2654.572, 'src': 'embed', 'start': 2628.169, 'weight': 4, 'content': [{'end': 2632.191, 'text': 'Then this join data is gonna get joined with the customer data.', 'start': 2628.169, 'duration': 4.022}, {'end': 2634.612, 'text': "So basically I'm performing a double join here.", 'start': 2632.571, 'duration': 2.041}, {'end': 2641.455, 'text': "Once this is done, I'm gonna pass it to an aggregator transformation through which I'm gonna group the data based on my customer details.", 'start': 2635.292, 'duration': 6.163}, {'end': 2646.846, 'text': "And finally, I'm gonna store it into my target definition which is a flat file.", 'start': 2641.956, 'duration': 4.89}, {'end': 2651.229, 'text': 'Okay Now the final step of this is basically to save this operation.', 'start': 2647.526, 'duration': 3.703}, {'end': 2654.572, 'text': 'Now, once I press control S it is going to save this.', 'start': 2651.89, 'duration': 2.682}], 'summary': 'Performing double join, aggregation, and saving to flat file.', 'duration': 26.403, 'max_score': 2628.169, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/3scD3llibJA/pics/3scD3llibJA2628169.jpg'}, {'end': 3011.564, 'src': 'heatmap', 'start': 2864.884, 'weight': 0.836, 'content': [{'end': 2868.646, 'text': 'This is a workspace where we are going to create our workflow.', 'start': 2864.884, 'duration': 3.762}, {'end': 2873.53, 'text': "Or basically, you're going to create a task which is going to help execute your mapping as such.", 'start': 2869.047, 'duration': 4.483}, {'end': 2876.251, 'text': 'Okay Now, again, there are three workspaces here.', 'start': 2874.17, 'duration': 2.081}, {'end': 2880.234, 'text': 'You have your task developer workspace, worklet designer workspace and workflow designer.', 'start': 2876.351, 'duration': 3.883}, {'end': 2883.556, 'text': "Now, in our session, we're just going to use the workflow designer workspace.", 'start': 2880.694, 'duration': 2.862}, {'end': 2887.039, 'text': 'Here, let me begin by creating a new workflow.', 'start': 2884.297, 'duration': 2.742}, {'end': 2891.682, 'text': 'So, click on workflow option present here and you have the option of creating a new workflow.', 'start': 2887.459, 'duration': 4.223}, {'end': 2901.893, 'text': 'Now, the naming convention for creating a new workflow is that it should start with WF followed by the name of the mapping, M underscore live.', 'start': 2892.522, 'duration': 9.371}, {'end': 2907.363, 'text': "Okay So I'll click on OK and I have a start icon present here.", 'start': 2903.114, 'duration': 4.249}, {'end': 2912.168, 'text': 'This basically is helping me understand that my workflow is going to start from here.', 'start': 2907.903, 'duration': 4.265}, {'end': 2915.332, 'text': 'Now again, this is something that is useful.', 'start': 2912.749, 'duration': 2.583}, {'end': 2920.638, 'text': "This is something that is very useful when you're working with multiple mappings, because when you're working in the industry,", 'start': 2915.532, 'duration': 5.106}, {'end': 2924.302, 'text': "you don't just create one single mapping or one single operation as such.", 'start': 2920.638, 'duration': 3.664}, {'end': 2927.825, 'text': 'you have a lot of data, you have a lot of analysis that you have to do so.', 'start': 2924.682, 'duration': 3.143}, {'end': 2933.451, 'text': "for that, you'll be creating multiple mappings, and these mappings can themselves be interrelated as well.", 'start': 2927.825, 'duration': 5.626}, {'end': 2939.697, 'text': "so this is just a simple understanding for you, but again in a real-time scenario, while you're working with multiple mappings,", 'start': 2933.451, 'duration': 6.246}, {'end': 2942.6, 'text': "you're going to create a very big workflow as such.", 'start': 2939.697, 'duration': 2.903}, {'end': 2944.982, 'text': "so for today's session, we'll just create a simple workflow.", 'start': 2942.6, 'duration': 2.382}, {'end': 2955.382, 'text': 'So now, for linking our workflow to a mapping, you need to create a task known as a session task.', 'start': 2948.277, 'duration': 7.105}, {'end': 2962.747, 'text': 'Session task basically helps Informatica understand that this is the mapping that needs to get executed.', 'start': 2956.422, 'duration': 6.325}, {'end': 2966.889, 'text': 'So click on the session task present here, and then again click on the workspace.', 'start': 2963.247, 'duration': 3.642}, {'end': 2971.512, 'text': 'Now it is going to ask me which mapping should be associated with this session.', 'start': 2967.67, 'duration': 3.842}, {'end': 2974.855, 'text': "So I'm going to select the M underscore live mapping workspace.", 'start': 2971.652, 'duration': 3.203}, {'end': 2976.376, 'text': "mapping, I'm sorry.", 'start': 2975.575, 'duration': 0.801}, {'end': 2979.219, 'text': 'So once I do that, automatically a session gets linked.', 'start': 2976.656, 'duration': 2.563}, {'end': 2982.942, 'text': 'Now again, this is not complete.', 'start': 2981.441, 'duration': 1.501}, {'end': 2985.305, 'text': 'I know my workflow is going to start from here.', 'start': 2983.463, 'duration': 1.842}, {'end': 2987.427, 'text': 'I know this mapping has to get executed.', 'start': 2985.325, 'duration': 2.102}, {'end': 2994.714, 'text': 'So what there needs to be is that there needs to be a connectivity between these two, else these would not get executed.', 'start': 2988.508, 'duration': 6.206}, {'end': 2998.417, 'text': 'So select, so drag from start and drop it to session.', 'start': 2995.214, 'duration': 3.203}, {'end': 3000.099, 'text': 'So this becomes a flow.', 'start': 2998.978, 'duration': 1.121}, {'end': 3006.281, 'text': 'Okay Now my workflow is going to start and then the following session is going to get executed.', 'start': 3001.778, 'duration': 4.503}, {'end': 3011.564, 'text': 'And in that session, the corresponding mapping that we have defined is going to get executed as such.', 'start': 3006.781, 'duration': 4.783}], 'summary': 'Creating a workflow using workflow designer workspace, linking to a session task, and executing the mapping.', 'duration': 146.68, 'max_score': 2864.884, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/3scD3llibJA/pics/3scD3llibJA2864884.jpg'}, {'end': 3244.539, 'src': 'embed', 'start': 3217.967, 'weight': 1, 'content': [{'end': 3225.272, 'text': 'Now to start a workflow, either go to the workflow tab and select start workflow or just right click on the workspace and select start workflow.', 'start': 3217.967, 'duration': 7.305}, {'end': 3229.515, 'text': 'Once you do this, you can automatically see the workflow monitor getting launched.', 'start': 3226.033, 'duration': 3.482}, {'end': 3236.42, 'text': 'So here you have the details with respect to the session as well as the workflow as such.', 'start': 3231.436, 'duration': 4.984}, {'end': 3240.583, 'text': 'So you can see here it has taken just 4 seconds for the session to execute.', 'start': 3236.74, 'duration': 3.843}, {'end': 3244.539, 'text': 'Now to get more details with respect to a session double click on it.', 'start': 3241.572, 'duration': 2.967}], 'summary': 'Starting a workflow takes 4 seconds, launches workflow monitor, and provides session details.', 'duration': 26.572, 'max_score': 3217.967, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/3scD3llibJA/pics/3scD3llibJA3217967.jpg'}, {'end': 3284.113, 'src': 'embed', 'start': 3257.394, 'weight': 0, 'content': [{'end': 3264.316, 'text': 'now, if you see here, i had 10 000 rows of my customer, 3000 of my product and 50 000 transaction data.', 'start': 3257.394, 'duration': 6.922}, {'end': 3273.321, 'text': 'okay, now, i have loaded all this data, i have performed the required operation and finally, i have 9945 rows present here.', 'start': 3264.316, 'duration': 9.005}, {'end': 3284.113, 'text': 'So basically Informatica has processed close to 65000 rows of data and then converted it to just 9545 rows in a matter of 4 seconds.', 'start': 3273.821, 'duration': 10.292}], 'summary': 'Informatica processed 65000 rows of data, resulting in 9545 rows in 4 seconds.', 'duration': 26.719, 'max_score': 3257.394, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/3scD3llibJA/pics/3scD3llibJA3257394.jpg'}], 'start': 2501.897, 'title': 'Data mapping, transformation, and informatica powercenter workflow', 'summary': 'Covers data mapping and transformation processes, including updating mapping design and creating data flows, informatica power center workflow for saving, validating mappings, and creating workflows, and monitoring session properties, execution, and data transfer efficiency, processing 65,000 rows in 4 seconds.', 'chapters': [{'end': 2646.846, 'start': 2501.897, 'title': 'Data mapping and transformation', 'summary': 'Covers the process of modifying target definitions, updating mapping design, and creating a data flow including joining and aggregating data for storage into a flat file.', 'duration': 144.949, 'highlights': ['The process of modifying target definitions and updating mapping design is demonstrated. The workspace allows modification of target definitions by changing column names and setting columns as key, and updating the target definition is shown. The need to update the target definition in the mapping designer workspace is highlighted.', 'The steps for linking transformations and completing the data flow are explained. The process of linking the aggregator transformation to the target definition, including the use of auto link, and selecting the source and destination transformations for the link is described, along with defining the auto link criteria based on name.', 'The overall mapping design process, including joining and aggregating data, is outlined. The sequence of joining the product and transaction tables using a joiner transformation, followed by joining the result with the customer data, and then passing it through an aggregator transformation to group the data based on customer details before storing it into a flat file is explained.']}, {'end': 3065.537, 'start': 2647.526, 'title': 'Informatica power center workflow', 'summary': 'Explains how to save a mapping, validate mappings, create a workflow involving various tasks and components, and create a session task to link a mapping in informatica power center workflow manager, emphasizing the importance of reusable transformations and mappings.', 'duration': 418.011, 'highlights': ['The chapter explains the process of saving a mapping in Informatica Power Center, which validates the mapping and notifies about any inconsistencies, ensuring the correct data flow. Informatica Power Center checks and validates the mapping, identifying and notifying about any inconsistencies, ensuring a correct data flow.', 'The chapter emphasizes the importance of reusable transformations and mappings in Informatica Power Center, allowing the same transformation to be used across different mappings and creating reusable mappings for different purposes. Emphasis is placed on the importance of reusable transformations and mappings, enabling the same transformation to be used across different mappings and creating reusable mappings for various purposes.', 'The chapter explains the creation of a workflow involving various tasks and components in Informatica Power Center Workflow Manager, highlighting the process of creating a session task to link a mapping and the importance of connectivity between tasks for execution. Creation of a workflow involving various tasks and components is highlighted, including the process of creating a session task to link a mapping and the significance of connectivity between tasks for execution.']}, {'end': 3488.597, 'start': 3066.676, 'title': 'Informatica powercenter workflow and monitoring', 'summary': 'Provides a detailed walkthrough of setting session properties, executing workflow, and monitoring data transfer, highlighting the efficiency of informatica powercenter in processing and transforming data, with an example of processing 65,000 rows in just 4 seconds.', 'duration': 421.921, 'highlights': ['Efficiency of Informatica PowerCenter in Data Processing Informatica processed close to 65,000 rows of data and converted it to just 9545 rows in a matter of 4 seconds, showcasing its capability in efficiently processing and transforming data.', 'Validating Workflow and Session Properties Informatica validates the workflow and session properties, ensuring that no mistakes are made, providing a high level of assurance in the data transfer process.', 'Informatica PowerCenter Workflow Monitor The Workflow Monitor provides detailed statistics of the executed session, enabling users to track the transfer of data between source and target, with the example of processing 65,000 rows in just 4 seconds.']}], 'duration': 986.7, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/3scD3llibJA/pics/3scD3llibJA2501897.jpg', 'highlights': ['Informatica processed close to 65,000 rows of data and converted it to just 9545 rows in a matter of 4 seconds, showcasing its capability in efficiently processing and transforming data.', 'The Workflow Monitor provides detailed statistics of the executed session, enabling users to track the transfer of data between source and target, with the example of processing 65,000 rows in just 4 seconds.', 'The process of modifying target definitions and updating mapping design is demonstrated, including changing column names and setting columns as key, and updating the target definition in the mapping designer workspace.', 'The steps for linking transformations and completing the data flow are explained, including the process of linking the aggregator transformation to the target definition, and selecting the source and destination transformations for the link.', 'The overall mapping design process, including joining and aggregating data, is outlined, such as joining the product and transaction tables using a joiner transformation, followed by joining the result with the customer data, and then passing it through an aggregator transformation to group the data based on customer details before storing it into a flat file.']}], 'highlights': ['Informatica Power Center processes thousands of rows in minutes, showcasing its efficiency.', 'Informatica Power Center is the leading data integration tool for migration and transformation.', 'The session equips participants to work with Informatica Power Center and understand business intelligence.', 'The process involves loading retail data into Informatica Power Center, performing transformations, and storing it in a data warehouse.', 'The Workflow Monitor provides detailed statistics of the executed session, enabling users to track the transfer of data between source and target.', 'The importance of adhering to naming conventions in Informatica, specifically not using white space, is emphasized to ensure proper folder and object creation.', 'The process of transforming and aggregating data involves joining product and customer details, creating an aggregation transformation, and modeling a target definition.', 'The detailed step-by-step process of importing data from a flat file into Informatica Power Center is demonstrated, showcasing the meticulous approach to data import and mapping creation.']}