title
Big Data Analytics | Big Data Explained | Big Data Tools & Trends | Big Data Training | Edureka

description
🔥 Edureka Hadoop Training: https://www.edureka.co/big-data-hadoop-training-certification This Edureka Big Data Analytics video will help you in understanding what is Big Data Analytics & how it is revolutionizing various domains. Below are the topics covered in this Big Data Analytics video: 1) Why Big Data Analytics? 2) What is Big DataAnalytics? 3) Different Stages in Big Data Analytics 4) Different Types of Big Data Analytics 5) Tools used in Big Data Analytics 6) Big Data Analytics in Different Domains 7) Trends in Big Data Analytics Subscribe to our channel to get video updates. Hit the subscribe button above. Check our complete Hadoop playlist here: https://goo.gl/hzUO0m --------------------Edureka Big Data Training and Certifications------------------------ 🔵 Edureka Hadoop Training: http://bit.ly/2YBlw29 🔵 Edureka Spark Training: http://bit.ly/2PeHvc9 🔵 Edureka Kafka Training: http://bit.ly/34e7Riy 🔵 Edureka Cassandra Training: http://bit.ly/2E9AK54 🔵 Edureka Talend Training: http://bit.ly/2YzYIjg 🔵 Edureka Hadoop Administration Training: http://bit.ly/2YE8Nf9 PG in Big Data Engineering with NIT Rourkela : https://www.edureka.co/post-graduate/big-data-engineering (450+ Hrs || 9 Months || 20+ Projects & 100+ Case studies) - - - - - - - - - - - - - - How it Works? 1. This is a 5 Week Instructor led Online Course, 40 hours of assignment and 30 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 have to undergo a 2-hour LIVE Practical Exam based on which we will provide you a Grade and a Verifiable Certificate! - - - - - - - - - - - - - - About the Course Edureka’s Big Data and Hadoop online training is designed to help you become a top Hadoop developer. During this course, our expert Hadoop instructors will help you: 1. Master the concepts of HDFS and MapReduce framework 2. Understand Hadoop 2.x Architecture 3. Setup Hadoop Cluster and write Complex MapReduce programs 4. Learn data loading techniques using Sqoop and Flume 5. Perform data analytics using Pig, Hive and YARN 6. Implement HBase and MapReduce integration 7. Implement Advanced Usage and Indexing 8. Schedule jobs using Oozie 9. Implement best practices for Hadoop development 10. Work on a real life Project on Big Data Analytics 11. Understand Spark and its Ecosystem 12. Learn how to work in RDD in Spark - - - - - - - - - - - - - - Who should go for this course? If you belong to any of the following groups, knowledge of Big Data and Hadoop is crucial for you if you want to progress in your career: 1. Analytics professionals 2. BI /ETL/DW professionals 3. Project managers 4. Testing professionals 5. Mainframe professionals 6. Software developers and architects 7. Recent graduates passionate about building successful career in Big Data - - - - - - - - - - - - - - Why Learn Hadoop? Big Data! A Worldwide Problem? According to Wikipedia, "Big data is collection of data sets so large and complex that it becomes difficult to process using on-hand database management tools or traditional data processing applications." In simpler terms, Big Data is a term given to large volumes of data that organizations store and process. However, it is becoming very difficult for companies to store, retrieve and process the ever-increasing data. If any company gets hold on managing its data well, nothing can stop it from becoming the next BIG success! The good news is - Hadoop has become an integral part for storing, handling, evaluating and retrieving hundreds of terabytes, and even petabytes of data. - - - - - - - - - - - - - - Opportunities for Hadoopers! Opportunities for Hadoopers are infinite - from a Hadoop Developer, to a Hadoop Tester or a Hadoop Architect, and so on. If cracking and managing BIG Data is your passion in life, then think no more and Join Edureka's Hadoop Online course and carve a niche for yourself! For more information, Please write back to us at sales@edureka.in or call us at IND: 9606058406 / US: 18338555775 (toll-free). Instagram: https://www.instagram.com/edureka_learning/ Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka Customer Review: Michael Harkins, System Architect, Hortonworks says: “The courses are top rate. The best part is live instruction, with playback. But my favourite feature is viewing a previous class. Also, they are always there to answer questions, and prompt when you open an issue if you are having any trouble. Added bonus ~ you get lifetime access to the course you took!!! ~ This is the killer education app... I've take two courses, and I'm taking two more.”

detail
{'title': 'Big Data Analytics | Big Data Explained | Big Data Tools & Trends | Big Data Training | Edureka', 'heatmap': [{'end': 219.751, 'start': 191.16, 'weight': 0.747}, {'end': 1216.038, 'start': 1166.696, 'weight': 0.919}], 'summary': "Covers the growing importance of big data analytics in various sectors due to rapid data generation, including key topics such as definition, required tools, domains, use cases, and prevalent trends. it also explains the concept of big data, citing the exponential growth of data, with a daily creation of 2.5 quintillion bytes, and outlines the five key characteristics of big data - volume, variety, value, velocity, and veracity. additionally, it delves into the impact of big data analytics on sectors like healthcare, highlighting significant cost reductions and showcasing examples such as crime hotspot identification, parkland hospital's reduction in readmissions, and amazon's personalized customer experience. the video also discusses the four types of data analytics: prescriptive, predictive, diagnostic, and descriptive analytics, and explores the usage of big data analytics tools in various industries, projecting the market revenue to grow from 42 billion us dollars in 2018 to 103 billion us dollars in 2027.", 'chapters': [{'end': 234.233, 'segs': [{'end': 35.517, 'src': 'embed', 'start': 7.472, 'weight': 0, 'content': [{'end': 12.713, 'text': 'A variety of enormous data is being generated at an extremely fast pace in various sectors.', 'start': 7.472, 'duration': 5.241}, {'end': 16.854, 'text': 'Therefore, analyzing big data has become extremely crucial and inevitable.', 'start': 13.153, 'duration': 3.701}, {'end': 24.596, 'text': 'As a result, big data analytics is being adopted all throughout the globe in order to gain numerous benefits from the data being produced.', 'start': 17.454, 'duration': 7.142}, {'end': 31.978, 'text': 'So, hello everyone, this is Anushree from Edureka and I will be walking you through this interesting session on big data analytics.', 'start': 25.256, 'duration': 6.722}, {'end': 35.517, 'text': "So guys let us quickly view the topics for today's discussion.", 'start': 32.734, 'duration': 2.783}], 'summary': 'Enormous data is crucial, big data analytics adopted globally for numerous benefits.', 'duration': 28.045, 'max_score': 7.472, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/k7zu3NXEiGY/pics/k7zu3NXEiGY7472.jpg'}, {'end': 85.307, 'src': 'embed', 'start': 60.417, 'weight': 2, 'content': [{'end': 65.581, 'text': "And lastly, I'll be ending this session by telling you about the different trends which are prevalent in the field of big data analytics.", 'start': 60.417, 'duration': 5.164}, {'end': 71.526, 'text': 'So now without further ado, let us move forward to our first topic of this session, which is why big data analytics.', 'start': 66.222, 'duration': 5.304}, {'end': 81.745, 'text': 'So, guys, why do you think big data analytics is so important, and why do you feel that we need to study this topic,', 'start': 76.343, 'duration': 5.402}, {'end': 83.366, 'text': 'or we should know what exactly it is?', 'start': 81.745, 'duration': 1.621}, {'end': 85.307, 'text': 'So now let me tell you why.', 'start': 83.967, 'duration': 1.34}], 'summary': 'Discussing the importance of studying big data analytics.', 'duration': 24.89, 'max_score': 60.417, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/k7zu3NXEiGY/pics/k7zu3NXEiGY60417.jpg'}, {'end': 123.802, 'src': 'embed', 'start': 99.094, 'weight': 3, 'content': [{'end': 106.86, 'text': 'And you know that we are creating about 2.5 quintillion bytes of data every day, and one quintillion amounts to around 10,', 'start': 99.094, 'duration': 7.766}, {'end': 108.762, 'text': 'raised to the power of 18 bytes.', 'start': 106.86, 'duration': 1.902}, {'end': 113.506, 'text': 'So you can do the math and imagine the amount of data that we are creating every day.', 'start': 109.302, 'duration': 4.204}, {'end': 119.92, 'text': "and this data, as you can see from the image that I've depicted here, is coming in from various sources, whether it is from social media,", 'start': 114.176, 'duration': 5.744}, {'end': 123.802, 'text': 'from banking sectors, from governments, from various other institutions.', 'start': 119.92, 'duration': 3.882}], 'summary': '2.5 quintillion bytes of data created daily from various sources.', 'duration': 24.708, 'max_score': 99.094, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/k7zu3NXEiGY/pics/k7zu3NXEiGY99094.jpg'}, {'end': 165.981, 'src': 'embed', 'start': 138.191, 'weight': 4, 'content': [{'end': 143.534, 'text': 'or does it define, with various other characteristics that you know exactly define, what big data is?', 'start': 138.191, 'duration': 5.343}, {'end': 147.792, 'text': 'So let us see what are the different characteristics associated with big data.', 'start': 144.426, 'duration': 3.366}, {'end': 151.732, 'text': 'So here I have represented five such characteristics.', 'start': 148.61, 'duration': 3.122}, {'end': 153.173, 'text': 'So first is volume.', 'start': 152.032, 'duration': 1.141}, {'end': 158.897, 'text': 'So volume is nothing but a huge amount of data that is being generated, or the enormous amount of data,', 'start': 153.613, 'duration': 5.284}, {'end': 165.981, 'text': 'as you previously saw in the section that how data was coming in from various sources like social media, banking sectors, governments, etc.', 'start': 158.897, 'duration': 7.084}], 'summary': 'Big data is defined by its five key characteristics, including volume, representing a huge amount of data from diverse sources.', 'duration': 27.79, 'max_score': 138.191, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/k7zu3NXEiGY/pics/k7zu3NXEiGY138191.jpg'}, {'end': 219.751, 'src': 'heatmap', 'start': 191.16, 'weight': 0.747, 'content': [{'end': 195.663, 'text': 'So unstructured data is in the form of audio files video files images, etc.', 'start': 191.16, 'duration': 4.503}, {'end': 201.088, 'text': 'Now coming to semi-structured data for semi-structured data is in the form of JSON and XML files.', 'start': 196.224, 'duration': 4.864}, {'end': 206.204, 'text': 'So these were the basic, you know formats of data now coming to the next characteristic, which is value.', 'start': 201.661, 'duration': 4.543}, {'end': 211.907, 'text': 'So value is nothing but deriving meaningful data from this entire collection of big data.', 'start': 206.784, 'duration': 5.123}, {'end': 215.429, 'text': 'So the next characteristic that we have stated here is velocity.', 'start': 212.627, 'duration': 2.802}, {'end': 219.751, 'text': 'So velocity is nothing but the rate at which the data is being generated.', 'start': 216.03, 'duration': 3.721}], 'summary': 'Unstructured data includes audio, video, and images. semi-structured data is in json and xml format. velocity is the rate of data generation.', 'duration': 28.591, 'max_score': 191.16, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/k7zu3NXEiGY/pics/k7zu3NXEiGY191160.jpg'}], 'start': 7.472, 'title': 'Big data analytics', 'summary': 'Covers the growing importance of big data analytics in various sectors due to rapid data generation, including key topics such as definition, required tools, domains, use cases, and prevalent trends. it also explains the concept of big data, citing the exponential growth of data, with a daily creation of 2.5 quintillion bytes, and outlines the five key characteristics of big data - volume, variety, value, velocity, and veracity.', 'chapters': [{'end': 81.745, 'start': 7.472, 'title': 'Importance of big data analytics', 'summary': 'Discusses the growing importance of big data analytics in various sectors due to the rapid generation of enormous data, and it outlines the key topics to be covered in the session, including the need for big data analytics, its definition, required tools, domains and use cases, and prevalent trends.', 'duration': 74.273, 'highlights': ['The rapid generation of enormous data in various sectors has made big data analytics crucial and inevitable.', 'The session covers key topics including the need for big data analytics, its definition, required tools, domains and use cases, and prevalent trends.', 'Big data analytics is being adopted globally to gain numerous benefits from the data being produced.', 'An overview of the topics to be discussed in the session, such as the importance of big data analytics, its definition, required tools, domains and use cases, and prevalent trends, is provided by the speaker.']}, {'end': 234.233, 'start': 81.745, 'title': 'Understanding big data characteristics', 'summary': 'Explains the concept of big data, citing the exponential growth of data, with a daily creation of 2.5 quintillion bytes, and outlines the five key characteristics of big data - volume, variety, value, velocity, and veracity.', 'duration': 152.488, 'highlights': ['The daily creation of 2.5 quintillion bytes of data showcases the exponential growth of data, emphasizing the concept of big data. 2.5 quintillion bytes of data created daily, indicating the exponential growth of data.', 'The five key characteristics of big data are outlined as volume, variety, value, velocity, and veracity, which define the nature of big data and its handling. Outlines the five key characteristics of big data - volume, variety, value, velocity, and veracity.', 'Volume, variety, value, velocity, and veracity are the five essential characteristics of big data, shaping its definition and significance. The five essential characteristics of big data - volume, variety, value, velocity, and veracity.']}], 'duration': 226.761, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/k7zu3NXEiGY/pics/k7zu3NXEiGY7472.jpg', 'highlights': ['Big data analytics is being adopted globally to gain numerous benefits from the data being produced.', 'The rapid generation of enormous data in various sectors has made big data analytics crucial and inevitable.', 'The session covers key topics including the need for big data analytics, its definition, required tools, domains and use cases, and prevalent trends.', 'The daily creation of 2.5 quintillion bytes of data showcases the exponential growth of data, emphasizing the concept of big data.', 'The five key characteristics of big data are outlined as volume, variety, value, velocity, and veracity, which define the nature of big data and its handling.']}, {'end': 507.762, 'segs': [{'end': 271.792, 'src': 'embed', 'start': 247.994, 'weight': 1, 'content': [{'end': 255.7, 'text': 'So big data analytics is basically highly contributing to this factors and organizations are adopting this to basically lead them to faster decision making.', 'start': 247.994, 'duration': 7.706}, {'end': 261.885, 'text': 'So one such example that I you know came across that I wanted to share with you guys is about the New York Police Department, in short,', 'start': 255.78, 'duration': 6.105}, {'end': 262.566, 'text': 'which is the NYPD?', 'start': 261.885, 'duration': 0.681}, {'end': 271.792, 'text': 'So big data and analytics are helping the NYPD and the other large police departments to anticipate and identify the criminal activity before it occurs.', 'start': 263.286, 'duration': 8.506}], 'summary': 'Big data analytics aiding nypd in preempting crime.', 'duration': 23.798, 'max_score': 247.994, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/k7zu3NXEiGY/pics/k7zu3NXEiGY247994.jpg'}, {'end': 334.61, 'src': 'embed', 'start': 307.093, 'weight': 0, 'content': [{'end': 313.095, 'text': 'so, basically, where crime occurrence was more so, they were able to identify these hotspots and then from there,', 'start': 307.093, 'duration': 6.002}, {'end': 318.577, 'text': 'they deployed their local officers so that they could reach there on time before it was actually committed.', 'start': 313.095, 'duration': 5.482}, {'end': 322.96, 'text': 'So this is how NYPD basically utilizes entire, you know,', 'start': 318.977, 'duration': 3.983}, {'end': 329.005, 'text': 'this field of big data analytics so that they can prevent crime and make New York a board safer place.', 'start': 322.96, 'duration': 6.045}, {'end': 334.61, 'text': "So now after exploring the first reason, let's move on to the second reason and see what is it.", 'start': 329.546, 'duration': 5.064}], 'summary': 'Nypd uses big data to deploy officers to crime hotspots, preventing crime and making new york safer.', 'duration': 27.517, 'max_score': 307.093, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/k7zu3NXEiGY/pics/k7zu3NXEiGY307093.jpg'}, {'end': 380.369, 'src': 'embed', 'start': 353.198, 'weight': 2, 'content': [{'end': 360.983, 'text': 'So they use our clickstream data and the historical purchase data of more than 300 million customers which have you know signed up for Amazon.', 'start': 353.198, 'duration': 7.785}, {'end': 367.505, 'text': 'and then they analyze each users data how they are clicking on different products and how they navigating through their site.', 'start': 361.303, 'duration': 6.202}, {'end': 372.286, 'text': 'So basically they show each user customized results on customized web pages.', 'start': 367.785, 'duration': 4.501}, {'end': 380.369, 'text': "So, after analyzing all these clicks of every visitor on their website, they're able to better understand their site navigation behavior,", 'start': 372.687, 'duration': 7.682}], 'summary': 'Amazon analyzes clickstream and purchase data of 300m+ customers to personalize web pages.', 'duration': 27.171, 'max_score': 353.198, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/k7zu3NXEiGY/pics/k7zu3NXEiGY353198.jpg'}, {'end': 432.042, 'src': 'embed', 'start': 407.773, 'weight': 3, 'content': [{'end': 413.934, 'text': 'because for storing big data, if you buy, like huge servers and you know, huge machinery, so that is going to cost you a lot.', 'start': 407.773, 'duration': 6.161}, {'end': 421.496, 'text': 'So by using Hadoop technology, so what Hadoop does basically stores big data in a distributed fashion so that you can process it parallelly.', 'start': 414.214, 'duration': 7.282}, {'end': 422.996, 'text': 'So it reduces your cost a lot.', 'start': 421.516, 'duration': 1.48}, {'end': 427.357, 'text': 'So by using commodity hardware, they are reducing their costs significantly.', 'start': 423.296, 'duration': 4.061}, {'end': 430.04, 'text': 'so which brings us to our third reason.', 'start': 428.078, 'duration': 1.962}, {'end': 432.042, 'text': 'you must have gauged what the third reason is.', 'start': 430.04, 'duration': 2.002}], 'summary': 'Hadoop reduces costs by storing and processing big data in a distributed, parallel manner using commodity hardware.', 'duration': 24.269, 'max_score': 407.773, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/k7zu3NXEiGY/pics/k7zu3NXEiGY407773.jpg'}, {'end': 497.016, 'src': 'embed', 'start': 466.215, 'weight': 4, 'content': [{'end': 472.96, 'text': 'Now for hospitalized patients, physicians can use predictive analytics to optimize outcomes and then reduce the readmissions.', 'start': 466.215, 'duration': 6.745}, {'end': 476.542, 'text': 'So Parkland Hospital in Dallas Texas is one such example,', 'start': 473.38, 'duration': 3.162}, {'end': 485.429, 'text': 'which has been using analytics and predictive modeling to identify these high-risk patients and then they predict likely outcomes once the patients are sent home.', 'start': 476.542, 'duration': 8.887}, {'end': 486.89, 'text': 'So. as a result,', 'start': 485.829, 'duration': 1.061}, {'end': 497.016, 'text': 'Parkland has been able to reduce its 30-day readmissions back to Parkland and all area hospitals for Medicare patients with heart failure by around 31%.', 'start': 486.89, 'duration': 10.126}], 'summary': 'Parkland hospital reduced 30-day readmissions for medicare heart failure patients by 31% using predictive analytics.', 'duration': 30.801, 'max_score': 466.215, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/k7zu3NXEiGY/pics/k7zu3NXEiGY466215.jpg'}], 'start': 234.914, 'title': 'Big data applications in various sectors', 'summary': "Highlights the impact of big data analytics on the nypd for crime prevention and on businesses and healthcare for cost reduction, customer behavior analysis, and predictive analytics, with examples such as crime hotspot identification, parkland hospital's 30% reduction in readmissions, and amazon's personalized customer experience.", 'chapters': [{'end': 329.005, 'start': 234.914, 'title': 'Big data analytics impact on nypd', 'summary': 'Elaborates on how big data analytics is helping organizations, with the example of nypd using it to anticipate and prevent criminal activities, leading to the identification of crime hotspots and deployment of officers, ultimately making new york a safer place.', 'duration': 94.091, 'highlights': ["NYPD utilizing big data and analytic strategy to identify crime hotspots and deploy local officers for crime prevention. NYPD's use of big data analytics, identification of crime hotspots, deployment of local officers", 'Big data analytics helping organizations lead to faster decision making and smarter and more efficient operations. Impact of big data analytics on organizations, faster decision making, efficiency improvement']}, {'end': 507.762, 'start': 329.546, 'title': 'Big data in business and healthcare', 'summary': "Discusses how big data analysis is utilized in optimizing business operations through customer behavior analysis, cost reduction through big data technologies, and healthcare cost reduction through predictive analytics, with examples such as amazon's personalized customer experience and parkland hospital's 30% reduction in readmissions for medicare patients with heart failure.", 'duration': 178.216, 'highlights': ['Amazon uses clickstream and historical purchase data of 300 million customers to personalize user experience, leading to improved customer experience and expanded customer base. Amazon uses clickstream and historical purchase data of 300 million customers to personalize user experience, leading to improved customer experience and expanded customer base.', 'Big data technologies like Hadoop and cloud-based analytics significantly reduce storage costs, enabling parallel processing and cost reduction through commodity hardware. Big data technologies like Hadoop and cloud-based analytics significantly reduce storage costs, enabling parallel processing and cost reduction through commodity hardware.', 'Healthcare utilizes big data analytics to reduce hospitalizations through automatic alerts for immunizations, self-managing sensor devices, and predictive analytics for optimized outcomes, resulting in a 31% reduction in 30-day readmissions for Medicare patients with heart failure at Parkland Hospital in Dallas Texas. Healthcare utilizes big data analytics to reduce hospitalizations through automatic alerts for immunizations, self-managing sensor devices, and predictive analytics for optimized outcomes, resulting in a 31% reduction in 30-day readmissions for Medicare patients with heart failure at Parkland Hospital in Dallas Texas.']}], 'duration': 272.848, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/k7zu3NXEiGY/pics/k7zu3NXEiGY234914.jpg', 'highlights': ["NYPD's use of big data analytics, identification of crime hotspots, deployment of local officers", 'Impact of big data analytics on organizations, faster decision making, efficiency improvement', 'Amazon uses clickstream and historical purchase data of 300 million customers to personalize user experience, leading to improved customer experience and expanded customer base', 'Big data technologies like Hadoop and cloud-based analytics significantly reduce storage costs, enabling parallel processing and cost reduction through commodity hardware', 'Healthcare utilizes big data analytics to reduce hospitalizations through automatic alerts for immunizations, self-managing sensor devices, and predictive analytics for optimized outcomes, resulting in a 31% reduction in 30-day readmissions for Medicare patients with heart failure at Parkland Hospital in Dallas Texas']}, {'end': 985.452, 'segs': [{'end': 536.96, 'src': 'embed', 'start': 508.322, 'weight': 5, 'content': [{'end': 512.705, 'text': 'So this is how healthcare is widely using big data analytics to reduce their cost significantly.', 'start': 508.322, 'duration': 4.383}, {'end': 518.155, 'text': "Now, let's move forward to see the last reason for why big data analytics is so essential.", 'start': 513.313, 'duration': 4.842}, {'end': 525.717, 'text': 'So our last reason is next generation products, that how big data analytics is really really contributing to generate more such, you know,', 'start': 518.475, 'duration': 7.242}, {'end': 533.819, 'text': 'high-tech products sooner to see how customers needs can be satisfied and how they can use these new generation products for their own benefit.', 'start': 525.717, 'duration': 8.102}, {'end': 536.96, 'text': 'So I have cited three such examples here for you guys.', 'start': 534.299, 'duration': 2.661}], 'summary': 'Healthcare uses big data to reduce cost; next-gen products satisfy customer needs.', 'duration': 28.638, 'max_score': 508.322, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/k7zu3NXEiGY/pics/k7zu3NXEiGY508322.jpg'}, {'end': 580.855, 'src': 'embed', 'start': 543.181, 'weight': 0, 'content': [{'end': 550.443, 'text': 'What Google self-driving car basically does is it makes millions of calculations on every trip that help the car decide when and where to turn,', 'start': 543.181, 'duration': 7.262}, {'end': 553.383, 'text': 'whether to slow down or speed up and when to change their lanes.', 'start': 550.443, 'duration': 2.94}, {'end': 560.485, 'text': 'So the same decision a human driver is making behind the wheel, Google self-driving car is also doing that with the help of big data analytics.', 'start': 553.683, 'duration': 6.802}, {'end': 566.408, 'text': 'Another example of a self driving car is the Toyota Prius, which is fitted with cameras, GPS,', 'start': 560.985, 'duration': 5.423}, {'end': 571.61, 'text': 'as well as powerful computers and sensors to safely drive on the road without the intervention of human beings.', 'start': 566.408, 'duration': 5.202}, {'end': 579.334, 'text': "So this is how it is, you know, really really contributing to making such high tech products which, in the long run, we'd be using probably,", 'start': 572.131, 'duration': 7.203}, {'end': 580.855, 'text': 'and it will make our life more easier.', 'start': 579.334, 'duration': 1.521}], 'summary': 'Google self-driving car makes millions of calculations to drive autonomously, while toyota prius is also equipped for safe autonomous driving.', 'duration': 37.674, 'max_score': 543.181, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/k7zu3NXEiGY/pics/k7zu3NXEiGY543181.jpg'}, {'end': 628.314, 'src': 'embed', 'start': 600.697, 'weight': 2, 'content': [{'end': 603.658, 'text': "So I know by now you would have guessed what example I'm arriving to.", 'start': 600.697, 'duration': 2.961}, {'end': 604.659, 'text': 'So it is Netflix.', 'start': 603.879, 'duration': 0.78}, {'end': 612.604, 'text': 'So Netflix committed for two seasons of its extremely popular show, House of Cards, without even seeing a single episode of the show, guys.', 'start': 605.059, 'duration': 7.545}, {'end': 618.808, 'text': 'And this project of, you know, House of Cards of two seasons is It costed Netflix about $100 million.', 'start': 613.024, 'duration': 5.784}, {'end': 628.314, 'text': 'So guys, how do you think that Netflix was able to take such a big risk monetarily? So the answer to this, my friends, is big data analytics.', 'start': 618.888, 'duration': 9.426}], 'summary': 'Netflix committed $100 million for 2 seasons of house of cards, relying on big data analytics.', 'duration': 27.617, 'max_score': 600.697, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/k7zu3NXEiGY/pics/k7zu3NXEiGY600697.jpg'}, {'end': 670.027, 'src': 'embed', 'start': 640.743, 'weight': 3, 'content': [{'end': 644.968, 'text': "And they were directed by David Fincher, who's also one of the show's executive producers.", 'start': 640.743, 'duration': 4.225}, {'end': 647.992, 'text': 'So basically, Netflix is analyzing everything.', 'start': 645.309, 'duration': 2.683}, {'end': 652.777, 'text': 'So from what show you are watching to when you pause it or to when even you turn it off.', 'start': 648.052, 'duration': 4.725}, {'end': 658.624, 'text': 'So last year, Netflix grew its subscriber, US subscriber base by around 10%.', 'start': 653.238, 'duration': 5.386}, {'end': 662.405, 'text': 'And then they added nearly 20 million subscribers from all around the globe.', 'start': 658.624, 'duration': 3.781}, {'end': 665.306, 'text': 'So how fascinating is that? I mean, this is brilliant.', 'start': 662.545, 'duration': 2.761}, {'end': 670.027, 'text': "I am sure that the next time you guys are watching a show on Netflix, you'll be really happy,", 'start': 665.646, 'duration': 4.381}], 'summary': 'Netflix grew us subscribers by 10% and added 20m global subscribers last year, analyzing viewer activity.', 'duration': 29.284, 'max_score': 640.743, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/k7zu3NXEiGY/pics/k7zu3NXEiGY640743.jpg'}, {'end': 1000.195, 'src': 'embed', 'start': 971.989, 'weight': 4, 'content': [{'end': 977.59, 'text': 'So Southwest analyzes their sensor data on the planes to identify the potential malfunctions or safety issues.', 'start': 971.989, 'duration': 5.601}, {'end': 978.71, 'text': 'So, basically,', 'start': 978.15, 'duration': 0.56}, {'end': 985.452, 'text': 'this allows the airline to address the possible problems and then make repairs without interrupting the flights or putting the passengers in danger.', 'start': 978.71, 'duration': 6.742}, {'end': 995.594, 'text': 'So this is a very great use of predictive analytics to how basically reduce their downtime and losses and as well as prevent delays and various other factors like accidents.', 'start': 985.472, 'duration': 10.122}, {'end': 1000.195, 'text': "So now let's move forward to the third reason which is prescriptive analytics.", 'start': 996.094, 'duration': 4.101}], 'summary': 'Southwest uses sensor data analysis to prevent malfunctions, reducing downtime and preventing delays or accidents.', 'duration': 28.206, 'max_score': 971.989, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/k7zu3NXEiGY/pics/k7zu3NXEiGY971989.jpg'}], 'start': 508.322, 'title': 'Big data analytics in healthcare and business impact', 'summary': "Delves into the wide application of big data analytics in healthcare, showcasing significant cost reductions and its role in developing next generation products, such as google's self-driving car and toyota prius. additionally, it explores its impact on companies like netflix and southwest airlines, including a $100 million investment in house of cards and the use of predictive analytics to preemptively address potential malfunctions.", 'chapters': [{'end': 580.855, 'start': 508.322, 'title': 'Big data analytics in healthcare and next generation products', 'summary': 'Explains how big data analytics is widely used in healthcare to significantly reduce costs and how it contributes to the development of next generation products, with examples such as google self-driving car and toyota prius, making millions of calculations and using powerful computers and sensors to drive safely on the road.', 'duration': 72.533, 'highlights': ['Big data analytics is widely used in healthcare to significantly reduce costs.', 'Google self-driving car makes millions of calculations on every trip to make driving decisions, similar to a human driver.', 'Toyota Prius is fitted with cameras, GPS, powerful computers, and sensors to safely drive on the road without human intervention.']}, {'end': 985.452, 'start': 581.545, 'title': 'Big data analytics in action', 'summary': 'Highlights how big data analytics has impacted companies like netflix, with a $100 million commitment to house of cards, and the use of predictive analytics by southwest airlines to preemptively identify and address potential malfunctions.', 'duration': 403.907, 'highlights': ["Netflix's $100 million commitment to House of Cards based on big data analytics Netflix committed to two seasons of House of Cards, costing $100 million, based on big data analytics analyzing viewer data to determine fan preferences and behaviors.", "Netflix's growth in subscriber base Netflix grew its US subscriber base by around 10% and added nearly 20 million subscribers globally, showcasing the impact of big data analytics on company growth.", 'Southwest Airlines using predictive analytics to preemptively identify potential malfunctions Southwest Airlines uses predictive analytics to identify potential malfunctions in planes, enabling preemptive repairs to avoid downtime and ensure passenger safety.']}], 'duration': 477.13, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/k7zu3NXEiGY/pics/k7zu3NXEiGY508322.jpg', 'highlights': ['Google self-driving car makes millions of calculations on every trip to make driving decisions, similar to a human driver.', 'Toyota Prius is fitted with cameras, GPS, powerful computers, and sensors to safely drive on the road without human intervention.', 'Netflix committed to two seasons of House of Cards, costing $100 million, based on big data analytics analyzing viewer data to determine fan preferences and behaviors.', 'Netflix grew its US subscriber base by around 10% and added nearly 20 million subscribers globally, showcasing the impact of big data analytics on company growth.', 'Southwest Airlines uses predictive analytics to identify potential malfunctions in planes, enabling preemptive repairs to avoid downtime and ensure passenger safety.', 'Big data analytics is widely used in healthcare to significantly reduce costs.']}, {'end': 1152.411, 'segs': [{'end': 1021.411, 'src': 'embed', 'start': 985.472, 'weight': 0, 'content': [{'end': 995.594, 'text': 'So this is a very great use of predictive analytics to how basically reduce their downtime and losses and as well as prevent delays and various other factors like accidents.', 'start': 985.472, 'duration': 10.122}, {'end': 1000.195, 'text': "So now let's move forward to the third reason which is prescriptive analytics.", 'start': 996.094, 'duration': 4.101}, {'end': 1008.78, 'text': 'Prescriptive analytics uses optimization and simulation algorithms to advise on the possible outcomes and answer the question what should we do??', 'start': 1001.072, 'duration': 7.708}, {'end': 1015.907, 'text': 'So, basically, it allows the users to prescribe a number of different possible actions and then guide them towards a solution.', 'start': 1009.18, 'duration': 6.727}, {'end': 1019.85, 'text': 'So in a nutshell, these analytics are all about providing advice.', 'start': 1016.327, 'duration': 3.523}, {'end': 1021.411, 'text': 'So prescriptive analytics.', 'start': 1020.331, 'duration': 1.08}], 'summary': 'Predictive analytics reduces downtime and losses, while prescriptive analytics advises on possible outcomes and actions.', 'duration': 35.939, 'max_score': 985.472, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/k7zu3NXEiGY/pics/k7zu3NXEiGY985472.jpg'}, {'end': 1116.907, 'src': 'embed', 'start': 1080.425, 'weight': 2, 'content': [{'end': 1083.466, 'text': 'they can have a large impact on how the businesses make their decisions.', 'start': 1080.425, 'duration': 3.041}, {'end': 1087.143, 'text': "So now let's move on to our last type, which is diagnostic analytics.", 'start': 1084.241, 'duration': 2.902}, {'end': 1091.946, 'text': 'So diagnostic analytics is used to determine why something happened in the past.', 'start': 1087.883, 'duration': 4.063}, {'end': 1097.97, 'text': 'So it is characterized by techniques like drill down, data discovery, data mining, and correlations.', 'start': 1092.386, 'duration': 5.584}, {'end': 1103.574, 'text': 'So diagnostic analytics, it takes a deeper look at the data to understand the root cause of the events.', 'start': 1098.35, 'duration': 5.224}, {'end': 1108.639, 'text': 'It is helpful in determining what kind of factors and events contributed to a particular outcome.', 'start': 1104.094, 'duration': 4.545}, {'end': 1114.765, 'text': 'So mostly it uses probabilities, likelihoods, and the distribution of data for the analysis.', 'start': 1109.059, 'duration': 5.706}, {'end': 1116.907, 'text': 'So, for example, in a time series,', 'start': 1115.165, 'duration': 1.742}], 'summary': 'Diagnostic analytics identifies root causes of events using data mining and correlations.', 'duration': 36.482, 'max_score': 1080.425, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/k7zu3NXEiGY/pics/k7zu3NXEiGY1080425.jpg'}], 'start': 985.472, 'title': 'Types of data analytics', 'summary': "Discusses four types of data analytics: prescriptive, predictive, diagnostic, and descriptive analytics, including examples like google's self-driving car. prescriptive analytics uses optimization and simulation algorithms to advise on possible outcomes, while predictive analytics uses historical and transactional data to predict future trends. diagnostic analytics determines the cause of past events, and descriptive analytics focuses on what has happened.", 'chapters': [{'end': 1152.411, 'start': 985.472, 'title': 'Types of data analytics', 'summary': "Discusses the four types of data analytics: prescriptive analytics uses optimization and simulation algorithms to advise on possible outcomes, predictive analytics uses historical and transactional data to predict future trends, diagnostic analytics determines why something happened in the past, and descriptive analytics focuses on what has happened. google's self-driving car is an example of prescriptive analytics.", 'duration': 166.939, 'highlights': ['Prescriptive analytics uses optimization and simulation algorithms to advise on the possible outcomes and answer the question what should we do?? Prescriptive analytics helps advise on possible outcomes using optimization and simulation algorithms.', 'Predictive analytics uses historical and transactional data to predict future trends and behaviors. Predictive analytics predicts future trends and behaviors using historical and transactional data.', 'Diagnostic analytics is used to determine why something happened in the past and takes a deeper look at the data to understand the root cause of the events. Diagnostic analytics determines the root cause of past events by taking a deeper look at the data.', 'Descriptive analytics focuses on what has happened, providing insights into the past and current state of affairs. Descriptive analytics focuses on providing insights into the past and current state of affairs.']}], 'duration': 166.939, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/k7zu3NXEiGY/pics/k7zu3NXEiGY985472.jpg', 'highlights': ['Prescriptive analytics uses optimization and simulation algorithms to advise on possible outcomes and answer the question what should we do??', 'Predictive analytics uses historical and transactional data to predict future trends and behaviors.', 'Diagnostic analytics is used to determine why something happened in the past and takes a deeper look at the data to understand the root cause of the events.', 'Descriptive analytics focuses on what has happened, providing insights into the past and current state of affairs.']}, {'end': 1681.441, 'segs': [{'end': 1216.038, 'src': 'heatmap', 'start': 1166.696, 'weight': 0.919, 'content': [{'end': 1169.298, 'text': 'So these are some of the tools that I have listed down here.', 'start': 1166.696, 'duration': 2.602}, {'end': 1173.882, 'text': 'So there are more such tools which are used for big data analytics, but let us explore the ones which I have mentioned over here.', 'start': 1169.318, 'duration': 4.564}, {'end': 1182.548, 'text': 'So let me name them Hadoop, PIG, Apache HBase, Apache Spark, Talent, Splunk, Apache Hive, Kafka.', 'start': 1174.382, 'duration': 8.166}, {'end': 1186.371, 'text': 'So now let me start with the first one which is Hadoop.', 'start': 1183.409, 'duration': 2.962}, {'end': 1193.597, 'text': 'So Hadoop is basically a framework that allows you to store big data in a distributed fashion so that you can process it parallelly.', 'start': 1186.812, 'duration': 6.785}, {'end': 1201.214, 'text': 'Apache PIC is a platform that is majorly used for analyzing large datasets and then represent these datasets as data flows.', 'start': 1194.099, 'duration': 7.115}, {'end': 1205.194, 'text': 'So basically Pig is used for scripting and the language is Pig Latin.', 'start': 1201.772, 'duration': 3.422}, {'end': 1206.714, 'text': 'Now coming to Kafka.', 'start': 1205.614, 'duration': 1.1}, {'end': 1208.595, 'text': 'So Kafka is a messaging system.', 'start': 1206.734, 'duration': 1.861}, {'end': 1210.636, 'text': 'Now, guys, what is a messaging system?', 'start': 1209.055, 'duration': 1.581}, {'end': 1216.038, 'text': 'A messaging system is basically something which is responsible for transferring data from one application to another.', 'start': 1210.696, 'duration': 5.342}], 'summary': 'Tools for big data analytics include hadoop, pig, apache hbase, apache spark, talent, splunk, apache hive, and kafka, each with specific functionalities.', 'duration': 49.342, 'max_score': 1166.696, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/k7zu3NXEiGY/pics/k7zu3NXEiGY1166696.jpg'}, {'end': 1201.214, 'src': 'embed', 'start': 1174.382, 'weight': 2, 'content': [{'end': 1182.548, 'text': 'So let me name them Hadoop, PIG, Apache HBase, Apache Spark, Talent, Splunk, Apache Hive, Kafka.', 'start': 1174.382, 'duration': 8.166}, {'end': 1186.371, 'text': 'So now let me start with the first one which is Hadoop.', 'start': 1183.409, 'duration': 2.962}, {'end': 1193.597, 'text': 'So Hadoop is basically a framework that allows you to store big data in a distributed fashion so that you can process it parallelly.', 'start': 1186.812, 'duration': 6.785}, {'end': 1201.214, 'text': 'Apache PIC is a platform that is majorly used for analyzing large datasets and then represent these datasets as data flows.', 'start': 1194.099, 'duration': 7.115}], 'summary': 'Hadoop, pig, apache hbase, apache spark, talent, splunk, apache hive, kafka are big data tools for storage, processing, and analysis.', 'duration': 26.832, 'max_score': 1174.382, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/k7zu3NXEiGY/pics/k7zu3NXEiGY1174382.jpg'}, {'end': 1331.54, 'src': 'embed', 'start': 1306.744, 'weight': 1, 'content': [{'end': 1313.869, 'text': "So these are some of the domains that I've listed out for you guys to understand how they're using big data analytics and how widely it is being used in different kinds of domains.", 'start': 1306.744, 'duration': 7.125}, {'end': 1321.193, 'text': "So healthcare we've already discussed previously has been using big data analytics to reduce costs, predict epidemics,", 'start': 1314.409, 'duration': 6.784}, {'end': 1325.136, 'text': 'avoid preventable diseases and then improve the quality of life in general.', 'start': 1321.193, 'duration': 3.943}, {'end': 1331.54, 'text': 'So one of the most widespread application of big data in healthcare is electronic health records, which is EHRs.', 'start': 1325.556, 'duration': 5.984}], 'summary': 'Big data analytics widely used in healthcare for cost reduction, epidemic prediction, disease prevention, and ehrs.', 'duration': 24.796, 'max_score': 1306.744, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/k7zu3NXEiGY/pics/k7zu3NXEiGY1306744.jpg'}, {'end': 1381.272, 'src': 'embed', 'start': 1342.187, 'weight': 0, 'content': [{'end': 1350.392, 'text': 'so telecom industry basically analyzes all our call data records in real time and then they identify fraudulent behavior and acts on them immediately.', 'start': 1342.187, 'duration': 8.205}, {'end': 1353.414, 'text': 'now the marketing division of telecom industry.', 'start': 1350.392, 'duration': 3.022}, {'end': 1361.939, 'text': 'it basically modifies their campaign to better target its customers and then use these insights which are gained by them to develop new products and services.', 'start': 1353.414, 'duration': 8.525}, {'end': 1370.447, 'text': 'Coming to insurance companies, so insurance companies use big data analytics for risk assessment, fraud detection, marketing, customer insights,', 'start': 1362.563, 'duration': 7.884}, {'end': 1371.887, 'text': 'customer experience and much more.', 'start': 1370.447, 'duration': 1.44}, {'end': 1375.549, 'text': 'Now, governments across the world are also adopting big data analytics.', 'start': 1372.308, 'duration': 3.241}, {'end': 1381.272, 'text': 'The Indian government, for example, had used big data analytics to get an estimate of the trade in the country.', 'start': 1376.009, 'duration': 5.263}], 'summary': 'Telecom industry analyzes call data records for fraud, marketing insights. insurance companies use big data for risk assessment, fraud detection, marketing. governments, like indian government, adopt big data for trade estimates.', 'duration': 39.085, 'max_score': 1342.187, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/k7zu3NXEiGY/pics/k7zu3NXEiGY1342187.jpg'}, {'end': 1549.305, 'src': 'embed', 'start': 1520.426, 'weight': 4, 'content': [{'end': 1525.189, 'text': 'and then they direct offers specifically to those customers in order to regenerate their interest.', 'start': 1520.426, 'duration': 4.763}, {'end': 1532.153, 'text': 'So I came across this article by Forbes, which reported how Starbucks made use of big data to analyze the preferences of their customers,', 'start': 1525.789, 'duration': 6.364}, {'end': 1533.895, 'text': 'to enhance and personalize their experience.', 'start': 1532.153, 'duration': 1.742}, {'end': 1539.999, 'text': "So they analyzed you know every member's coffee buying habits along with their preferred drinks to what time of the day they are usually ordering.", 'start': 1534.335, 'duration': 5.664}, {'end': 1542.66, 'text': 'So, even when people visit a new Starbucks location,', 'start': 1540.419, 'duration': 2.241}, {'end': 1549.305, 'text': 'that stores point of sale system is able to identify the customer through their smartphone and then the barista gives them their preferred order.', 'start': 1542.66, 'duration': 6.645}], 'summary': 'Starbucks used big data to analyze customer preferences and personalize their experience, resulting in direct offers and enhanced customer experience.', 'duration': 28.879, 'max_score': 1520.426, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/k7zu3NXEiGY/pics/k7zu3NXEiGY1520426.jpg'}, {'end': 1597.569, 'src': 'embed', 'start': 1570.321, 'weight': 5, 'content': [{'end': 1573.222, 'text': 'The second use case is of P&G, Procter & Gamble.', 'start': 1570.321, 'duration': 2.901}, {'end': 1578.804, 'text': 'So Procter & Gamble uses market basket analysis and price optimization to optimize their products.', 'start': 1573.502, 'duration': 5.302}, {'end': 1587.707, 'text': 'So market basket analysis analyzes customer buying habits by finding associations between the different items that the customers place in their shopping baskets.', 'start': 1579.124, 'duration': 8.583}, {'end': 1591.008, 'text': 'so this is what exactly market basket analysis does so.', 'start': 1588.167, 'duration': 2.841}, {'end': 1597.569, 'text': 'apart from this, market basket analysis may be performed on the retail data of customer transactions at your store.', 'start': 1591.008, 'duration': 6.561}], 'summary': 'P&g uses market basket analysis and price optimization to optimize products.', 'duration': 27.248, 'max_score': 1570.321, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/k7zu3NXEiGY/pics/k7zu3NXEiGY1570321.jpg'}], 'start': 1152.632, 'title': 'Big data analytics in various industries', 'summary': 'Covers big data analytics tools like hadoop, pig, apache hbase, apache spark, and explores their usage in healthcare and telecom for reducing costs and predicting epidemics. it also discusses the utilization of big data analytics in insurance, government, banking, automobile, education, and retail industries, with examples from companies such as starbucks and procter & gamble.', 'chapters': [{'end': 1361.939, 'start': 1152.632, 'title': 'Big data analytics tools and domains', 'summary': 'Covers the tools required for big data analytics including hadoop, pig, apache hbase, apache spark, talent, splunk, apache hive, kafka, and explores the usage of big data analytics in healthcare and telecom industry for reducing costs, predicting epidemics, avoiding preventable diseases, identifying fraudulent behavior, and modifying marketing campaigns.', 'duration': 209.307, 'highlights': ['Usage of Big Data Analytics in Healthcare Healthcare utilizes big data analytics to reduce costs, predict epidemics, avoid preventable diseases, and improve the quality of life, with the widespread application of electronic health records (EHRs).', 'Tools for Big Data Analytics The chapter covers tools including Hadoop, PIG, Apache HBase, Apache Spark, Talent, Splunk, Apache Hive, and Kafka, detailing their functions and usage for big data analytics.', "Telecom Industry's Utilization of Big Data Analytics The telecom industry employs big data analytics for real-time analysis of call data records to identify fraudulent behavior, modify marketing campaigns, and develop new products and services."]}, {'end': 1681.441, 'start': 1362.563, 'title': 'Big data analytics in various industries', 'summary': 'Discusses how big data analytics is utilized in insurance, government, banking, automobile, education, and retail industries, with examples such as starbucks and procter & gamble, to optimize business strategies and enhance customer experience.', 'duration': 318.878, 'highlights': ['Starbucks utilizes big data analytics to personalize customer experience and enhance business strategies through behavioral analytics and customer preference analysis, resulting in increased customer base. Starbucks uses big data to analyze customer preferences, personalize experiences, and optimize business strategies, as seen in the use of behavioral analytics and personalized ad campaigns, leading to increased customer engagement.', 'Procter & Gamble employs market basket analysis and price optimization to understand customer buying habits, optimize product designs, and increase sales through targeted marketing strategies. Procter & Gamble uses market basket analysis and predictive analytics to optimize product designs, understand customer buying habits, and improve sales through targeted marketing strategies, demonstrating the application of big data in the retail industry.', 'Insurance companies, governments, banks, financial firms, automobile companies, education, and retail sectors extensively use big data analytics for risk assessment, fraud detection, customer insights, and business optimization. Various industries including insurance, government, banking, automobile, education, and retail widely use big data analytics for risk assessment, fraud detection, and business optimization, showcasing the diverse applications of big data across different sectors.']}], 'duration': 528.809, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/k7zu3NXEiGY/pics/k7zu3NXEiGY1152632.jpg', 'highlights': ["Telecom Industry's Utilization of Big Data Analytics The telecom industry employs big data analytics for real-time analysis of call data records to identify fraudulent behavior, modify marketing campaigns, and develop new products and services.", 'Usage of Big Data Analytics in Healthcare Healthcare utilizes big data analytics to reduce costs, predict epidemics, avoid preventable diseases, and improve the quality of life, with the widespread application of electronic health records (EHRs).', 'Tools for Big Data Analytics The chapter covers tools including Hadoop, PIG, Apache HBase, Apache Spark, Talent, Splunk, Apache Hive, and Kafka, detailing their functions and usage for big data analytics.', 'Insurance companies, governments, banks, financial firms, automobile companies, education, and retail sectors extensively use big data analytics for risk assessment, fraud detection, customer insights, and business optimization.', 'Starbucks utilizes big data analytics to personalize customer experience and enhance business strategies through behavioral analytics and customer preference analysis, resulting in increased customer base.', 'Procter & Gamble employs market basket analysis and price optimization to understand customer buying habits, optimize product designs, and increase sales through targeted marketing strategies.']}, {'end': 2163.073, 'segs': [{'end': 1728.934, 'src': 'embed', 'start': 1706.935, 'weight': 0, 'content': [{'end': 1715.782, 'text': 'this entire image depicts the statistics for the growing market revenue of big data in billion US dollars from the year 2011 to the year 2027..', 'start': 1706.935, 'duration': 8.847}, {'end': 1723.008, 'text': 'So in the current year, which is 2018, as you guys can see, the current market revenue of big data is about 42 billion US dollars.', 'start': 1715.782, 'duration': 7.226}, {'end': 1728.934, 'text': 'And it is going to exponentially increase to about 103 billion US dollars in the year 2027, which is a massive amount.', 'start': 1723.349, 'duration': 5.585}], 'summary': 'Big data market revenue is projected to grow from $42b in 2018 to $103b in 2027.', 'duration': 21.999, 'max_score': 1706.935, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/k7zu3NXEiGY/pics/k7zu3NXEiGY1706935.jpg'}, {'end': 1790.601, 'src': 'embed', 'start': 1741.042, 'weight': 1, 'content': [{'end': 1754.53, 'text': 'So the first one here basically states that nearly 50% of respondents to a recent McKinsey analytics survey say that analytics and big data have fundamentally changed business practices in their sales and marketing functions.', 'start': 1741.042, 'duration': 13.488}, {'end': 1761.09, 'text': 'So we also have seen examples of this by, you know, like by Starbucks, of P&G, of Amazon.', 'start': 1755.126, 'duration': 5.964}, {'end': 1764.112, 'text': 'So these are such companies which are responding to such surveys.', 'start': 1761.11, 'duration': 3.002}, {'end': 1772.018, 'text': 'Now the next one is showing that how big data applications and analytics is projected to grow from about $5.3 billion in 2018 to $19.4 billion in 2026,', 'start': 1764.713, 'duration': 7.305}, {'end': 1782.253, 'text': 'which attains about a compound aggregate of 15.49%.', 'start': 1772.018, 'duration': 10.235}, {'end': 1788.099, 'text': 'So the next one here is an extremely important fact or stat, which I found out, and it is basically an eye opener.', 'start': 1782.253, 'duration': 5.846}, {'end': 1790.601, 'text': 'So, according to an Accenture study,', 'start': 1788.519, 'duration': 2.082}], 'summary': '50% say analytics changed sales and marketing; big data market to grow to $19.4b by 2026; accenture study reveals eye-opening fact.', 'duration': 49.559, 'max_score': 1741.042, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/k7zu3NXEiGY/pics/k7zu3NXEiGY1741042.jpg'}, {'end': 1845.75, 'src': 'embed', 'start': 1824.2, 'weight': 3, 'content': [{'end': 1835.325, 'text': 'big data is delivering the most value to enterprises by decreasing their expenses by about 49.2% and creating new avenues for innovation by about 44.3%.', 'start': 1824.2, 'duration': 11.125}, {'end': 1837.146, 'text': 'An example of both of these facts.', 'start': 1835.325, 'duration': 1.821}, {'end': 1844.189, 'text': 'we saw in new generation why we need big data analytics section, where we spoke about cost reduction as well as new generation products.', 'start': 1837.146, 'duration': 7.043}, {'end': 1845.75, 'text': 'So this is an example of that.', 'start': 1844.569, 'duration': 1.181}], 'summary': 'Big data reduces expenses by 49.2% and drives 44.3% innovation in enterprises.', 'duration': 21.55, 'max_score': 1824.2, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/k7zu3NXEiGY/pics/k7zu3NXEiGY1824200.jpg'}, {'end': 1942.555, 'src': 'embed', 'start': 1919.526, 'weight': 4, 'content': [{'end': 1929.45, 'text': 'and the average salary of the six analytics jobs that i just stated, along with data science jobs, is about 95 000, which is absolutely amazing,', 'start': 1919.526, 'duration': 9.924}, {'end': 1941.034, 'text': 'and data scientist has been named the best job in america for about three years running, with a median base salary of 110 000 and 4524 job openings.', 'start': 1929.45, 'duration': 11.584}, {'end': 1942.555, 'text': 'i mean, how wonderful is that?', 'start': 1941.034, 'duration': 1.521}], 'summary': 'Data scientist named best job in america with $110,000 median salary and 4524 job openings.', 'duration': 23.029, 'max_score': 1919.526, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/k7zu3NXEiGY/pics/k7zu3NXEiGY1919526.jpg'}, {'end': 1987.369, 'src': 'embed', 'start': 1962.5, 'weight': 5, 'content': [{'end': 1968.941, 'text': 'so the percentage of analytics professionals earning more than 15 lakhs has increased from about 17 percent in 2016 to 21 percent in the last year,', 'start': 1962.5, 'duration': 6.441}, {'end': 1976.944, 'text': '2017, And to the current 22.3% in this year, 2018..', 'start': 1968.941, 'duration': 8.003}, {'end': 1979.886, 'text': 'Now let me tell you what kind of job titles are there in this field.', 'start': 1976.944, 'duration': 2.942}, {'end': 1983.347, 'text': 'So the first one here is Big Data Analytics Business Consultant.', 'start': 1980.306, 'duration': 3.041}, {'end': 1985.769, 'text': 'Second is Big Data Analytics Architect.', 'start': 1983.808, 'duration': 1.961}, {'end': 1987.369, 'text': 'Third is Big Data Engineer.', 'start': 1985.949, 'duration': 1.42}], 'summary': 'Percentage of analytics professionals earning over 15 lakhs increased from 17% in 2016 to 22.3% in 2018. job titles include big data analytics business consultant, architect, and engineer.', 'duration': 24.869, 'max_score': 1962.5, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/k7zu3NXEiGY/pics/k7zu3NXEiGY1962500.jpg'}], 'start': 1681.481, 'title': 'Big data analytics trends and insights', 'summary': 'Discusses the increasing utilization of big data analytics to enhance sales and marketing, projecting the market revenue to grow from 42 billion us dollars in 2018 to 103 billion us dollars in 2027. it also covers the impact of big data and analytics on business practices, including statistics showing projected growth of applications, potential consequences for companies not embracing big data, the value for enterprises, and the soaring demand and high salaries for analytics professionals.', 'chapters': [{'end': 1728.934, 'start': 1681.481, 'title': 'Big data analytics trends', 'summary': 'Discusses the increasing utilization of big data analytics by companies to enhance sales and marketing, and presents the projection of the big data market revenue to grow from 42 billion us dollars in 2018 to 103 billion us dollars in 2027.', 'duration': 47.453, 'highlights': ['The projected market revenue of big data is expected to reach approximately 103 billion US dollars by the year 2027, showcasing a significant increase from the current 42 billion US dollars in 2018.', 'Companies are utilizing big data analytics to enhance sales and marketing, showcasing a growing trend in the proficient use of big data for business growth.']}, {'end': 2163.073, 'start': 1730.996, 'title': 'Big data analytics insights', 'summary': 'Discusses the impact of big data and analytics on business practices, including statistics showing a projected growth of big data applications, the potential consequences for companies not embracing big data, the value of big data for enterprises, and the soaring demand and high salaries for analytics professionals.', 'duration': 432.077, 'highlights': ['79% of enterprise executives agree that companies not embracing big data will lose their competitive position and could face extinction. According to an Accenture study, 79% of enterprise executives agree that companies not embracing big data will lose their competitive position and could face extinction, with 83% pursuing big data projects to gain a competitive edge.', 'Big data applications and analytics are projected to grow from about $5.3 billion in 2018 to $19.4 billion in 2026. Big data applications and analytics are projected to grow from about $5.3 billion in 2018 to $19.4 billion in 2026, attaining a compound aggregate growth rate of 15.49%.', 'Big data is delivering the most value to enterprises by decreasing their expenses by about 49.2% and creating new avenues for innovation by about 44.3%. According to New Vantage Venture Partners, big data is delivering the most value to enterprises by decreasing their expenses by about 49.2% and creating new avenues for innovation by about 44.3%.', 'The average salary for analytics and data science jobs is about $95,000, with data scientist being named the best job in America for about three years running, with a median base salary of $110,000. Six analytics and data science jobs, including data scientist, analytics manager, database administrator, data engineer, data analyst, and business intelligence developer, have an average salary of about $95,000. Data scientist has been named the best job in America for about three years running, with a median base salary of $110,000.', 'The percentage of analytics professionals earning more than 15 lakhs has increased from about 17% in 2016 to 22.3% in 2018. The percentage of analytics professionals earning more than 15 lakhs has increased from about 17% in 2016 to 22.3% in 2018, indicating a positive trend in earning potential for analytics professionals.']}], 'duration': 481.592, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/k7zu3NXEiGY/pics/k7zu3NXEiGY1681481.jpg', 'highlights': ['Projected market revenue of big data to reach approximately 103 billion US dollars by 2027, a significant increase from 42 billion US dollars in 2018.', 'Companies are utilizing big data analytics to enhance sales and marketing, showcasing a growing trend in the proficient use of big data for business growth.', 'Big data applications and analytics projected to grow from about $5.3 billion in 2018 to $19.4 billion in 2026, attaining a compound aggregate growth rate of 15.49%.', 'Big data delivering the most value to enterprises by decreasing their expenses by about 49.2% and creating new avenues for innovation by about 44.3%.', 'The average salary for analytics and data science jobs is about $95,000, with data scientist being named the best job in America for about three years running, with a median base salary of $110,000.', 'Percentage of analytics professionals earning more than 15 lakhs increased from about 17% in 2016 to 22.3% in 2018, indicating a positive trend in earning potential.']}], 'highlights': ['Big data analytics is being adopted globally to gain numerous benefits from the data being produced.', 'The rapid generation of enormous data in various sectors has made big data analytics crucial and inevitable.', 'The daily creation of 2.5 quintillion bytes of data showcases the exponential growth of data, emphasizing the concept of big data.', 'The five key characteristics of big data are outlined as volume, variety, value, velocity, and veracity, which define the nature of big data and its handling.', "NYPD's use of big data analytics, identification of crime hotspots, deployment of local officers", 'Impact of big data analytics on organizations, faster decision making, efficiency improvement', 'Amazon uses clickstream and historical purchase data of 300 million customers to personalize user experience, leading to improved customer experience and expanded customer base', 'Healthcare utilizes big data analytics to reduce hospitalizations through automatic alerts for immunizations, self-managing sensor devices, and predictive analytics for optimized outcomes, resulting in a 31% reduction in 30-day readmissions for Medicare patients with heart failure at Parkland Hospital in Dallas Texas', 'Google self-driving car makes millions of calculations on every trip to make driving decisions, similar to a human driver.', 'Toyota Prius is fitted with cameras, GPS, powerful computers, and sensors to safely drive on the road without human intervention.', 'Netflix committed to two seasons of House of Cards, costing $100 million, based on big data analytics analyzing viewer data to determine fan preferences and behaviors.', 'Netflix grew its US subscriber base by around 10% and added nearly 20 million subscribers globally, showcasing the impact of big data analytics on company growth.', 'Southwest Airlines uses predictive analytics to identify potential malfunctions in planes, enabling preemptive repairs to avoid downtime and ensure passenger safety.', 'Prescriptive analytics uses optimization and simulation algorithms to advise on possible outcomes and answer the question what should we do??', 'Predictive analytics uses historical and transactional data to predict future trends and behaviors.', 'Diagnostic analytics is used to determine why something happened in the past and takes a deeper look at the data to understand the root cause of the events.', 'Descriptive analytics focuses on what has happened, providing insights into the past and current state of affairs.', "Telecom Industry's Utilization of Big Data Analytics The telecom industry employs big data analytics for real-time analysis of call data records to identify fraudulent behavior, modify marketing campaigns, and develop new products and services.", 'Usage of Big Data Analytics in Healthcare Healthcare utilizes big data analytics to reduce costs, predict epidemics, avoid preventable diseases, and improve the quality of life, with the widespread application of electronic health records (EHRs).', 'Tools for Big Data Analytics The chapter covers tools including Hadoop, PIG, Apache HBase, Apache Spark, Talent, Splunk, Apache Hive, and Kafka, detailing their functions and usage for big data analytics.', 'Insurance companies, governments, banks, financial firms, automobile companies, education, and retail sectors extensively use big data analytics for risk assessment, fraud detection, customer insights, and business optimization.', 'Starbucks utilizes big data analytics to personalize customer experience and enhance business strategies through behavioral analytics and customer preference analysis, resulting in increased customer base.', 'Projected market revenue of big data to reach approximately 103 billion US dollars by 2027, a significant increase from 42 billion US dollars in 2018.', 'Companies are utilizing big data analytics to enhance sales and marketing, showcasing a growing trend in the proficient use of big data for business growth.', 'Big data applications and analytics projected to grow from about $5.3 billion in 2018 to $19.4 billion in 2026, attaining a compound aggregate growth rate of 15.49%.', 'Big data delivering the most value to enterprises by decreasing their expenses by about 49.2% and creating new avenues for innovation by about 44.3%.', 'The average salary for analytics and data science jobs is about $95,000, with data scientist being named the best job in America for about three years running, with a median base salary of $110,000.', 'Percentage of analytics professionals earning more than 15 lakhs increased from about 17% in 2016 to 22.3% in 2018, indicating a positive trend in earning potential.']}