title
Big Data Analytics | What Is Big Data Analytics? | Big Data Analytics For Beginners | Simplilearn

description
🔥Post Graduate Program In Data Engineering: https://www.simplilearn.com/pgp-data-engineering-certification-training-course?utm_campaign=Hadoop-bY6ZzQmtOzk&utm_medium=Descriptionff&utm_source=youtube 🔥Big Data Engineer Masters Program (Discount Code - YTBE15): https://www.simplilearn.com/big-data-engineer-masters-program?utm_campaign=Hadoop-bY6ZzQmtOzk&utm_medium=Descriptionff&utm_source=youtube 🟡 Caltech AI & Machine Learning Bootcamp (For US Learners Only) - https://www.simplilearn.com/ai-machine-learning-bootcamp?utm_campaign=Hadoop-bY6ZzQmtOzk&utm_medium=Descriptionff&utm_source=youtube In this Big Data Analytics video, you will see why Big Data analytics is required, what is Big Data analytics, the lifecycle of Big Data analytics, types of Big Data analytics, tools used in Big Data analytics and few Big Data application domains. Also, we'll see a use case on how Spotify uses Big Data analytics. Big Data analytics is a process to extract meaningful insights from Big Data such as hidden patterns, unknown correlations, market trends, and customer preferences. One of the essential benefits of Big Data analytics is used for product development and innovations. Now, let us get started and understand Big Data Analytics in detail. Below are explained in this Big Data analytics tutorial: 1. Why Big Data analytics? (00:34) 2. What is Big Data analytics? (02:27) 3. Lifecycle of Big Data analytics (10:14) 4. Types of Big Data analytics (12:46) 5. Tools used in Big Data analytics (21:08) 6. Big Data application domains (23:54) 🔥 Enroll for FREE Big Data Hadoop Spark Course & Get your Completion Certificate: https://www.simplilearn.com/learn-hadoop-spark-basics-skillup?utm_campaign=Hadoop&utm_medium=Description&utm_source=youtube To learn more about Hadoop, subscribe to our YouTube channel: https://www.youtube.com/user/Simplilearn?sub_confirmation=1 To access the slides, click here: https://www.slideshare.net/Simplilearn/big-data-analytics-what-is-big-data-analytics-big-data-analytics-for-beginners-simplilearn/Simplilearn/big-data-analytics-what-is-big-data-analytics-big-data-analytics-for-beginners-simplilearn Watch more videos on Hadoop training: https://www.youtube.com/watch?v=CKLzDWMsQGM&list=PLEiEAq2VkUUJqp1k-g5W1mo37urJQOdCZ #BigData #BigDataAnalytics #BigDataTutorial #BigDataAnalyticsForBeginners #BigDataTutorial #LearnHadoop #HadoopTraining #HadoopCertification #SimplilearnHadoop #Simplilearn ➡️ About Post Graduate Program In Data Engineering This Data Engineering course is ideal for professionals, covering critical topics like the Hadoop framework, Data Processing using Spark, Data Pipelines with Kafka, Big Data on AWS, and Azure cloud infrastructures. This program is delivered via live sessions, industry projects, masterclasses, IBM hackathons, and Ask Me Anything sessions. ✅ Key Features - Professional Certificate Program Certificate and Alumni Association membership - Exclusive Master Classes and Ask me Anything sessions by IBM - 8X higher live interaction in live Data Engineering online classes by industry experts - Capstone from 3 domains and 14+ Projects with Industry datasets from YouTube, Glassdoor, Facebook etc. - Master Classes delivered by Purdue faculty and IBM experts - Simplilearn's JobAssist helps you get noticed by top hiring companies ✅ Skills Covered - Real Time Data Processing - Data Pipelining - Big Data Analytics - Data Visualization - Provisioning data storage services - Apache Hadoop - Ingesting Streaming and Batch Data - Transforming Data - Implementing Security Requirements - Data Protection - Encryption Techniques - Data Governance and Compliance Controls 👉Learn More at: https://www.simplilearn.com/pgp-data-engineering-certification-training-course?utm_campaign=Hadoop-bY6ZzQmtOzk&utm_medium=Description&utm_source=youtube 🔥🔥 Interested in Attending Live Classes? Call Us: IN - 18002127688 / US - +18445327688

detail
{'title': 'Big Data Analytics | What Is Big Data Analytics? | Big Data Analytics For Beginners | Simplilearn', 'heatmap': [{'end': 261.458, 'start': 216.143, 'weight': 0.799}, {'end': 346.174, 'start': 302.944, 'weight': 0.855}, {'end': 672.006, 'start': 614.684, 'weight': 0.9}, {'end': 719.807, 'start': 683.828, 'weight': 0.706}, {'end': 772.461, 'start': 731.691, 'weight': 0.73}, {'end': 1340.4, 'start': 1281.904, 'weight': 0.712}], 'summary': "Covers various aspects of big data analytics, including its necessity, lifecycle, types, and applications, with examples like spotify's user data analysis and paypal's fraud prevention. it also discusses flight ticket pricing factors, big data tools, and active use in e-commerce, marketing, education, healthcare, entertainment, banking, telecom, and law enforcement.", 'chapters': [{'end': 269.502, 'segs': [{'end': 136.779, 'src': 'embed', 'start': 110.555, 'weight': 0, 'content': [{'end': 118.463, 'text': 'This system has the ability to accurately predict what a user would like to listen to next with the help of big data analytics.', 'start': 110.555, 'duration': 7.908}, {'end': 126.61, 'text': 'This prediction helps the users stay on the page for a longer time and by doing so, Spotify engages all its users.', 'start': 118.743, 'duration': 7.867}, {'end': 130.954, 'text': "The users don't have the need to go on searching for different songs.", 'start': 126.91, 'duration': 4.044}, {'end': 136.779, 'text': 'This is because Spotify readily provides them with a variety of songs according to their taste.', 'start': 131.254, 'duration': 5.525}], 'summary': "Spotify's system predicts user preferences, increasing user engagement and providing variety of songs.", 'duration': 26.224, 'max_score': 110.555, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/bY6ZzQmtOzk/pics/bY6ZzQmtOzk110555.jpg'}, {'end': 183.102, 'src': 'embed', 'start': 154.932, 'weight': 4, 'content': [{'end': 160.215, 'text': 'We all hear the term big data many a times, but do you know what exactly big data means??', 'start': 154.932, 'duration': 5.283}, {'end': 163.958, 'text': 'Well, we will understand the term big data clearly right now.', 'start': 160.455, 'duration': 3.503}, {'end': 174.171, 'text': 'Big data is a term for data sets that cannot be handled by traditional computers or tools due to their value, volume, velocity and veracity.', 'start': 164.278, 'duration': 9.893}, {'end': 183.102, 'text': 'It is defined as massive amount of data which cannot be stored, processed and analyzed using various traditional methods.', 'start': 174.411, 'duration': 8.691}], 'summary': 'Big data refers to large, unmanageable data sets due to volume, velocity, and value.', 'duration': 28.17, 'max_score': 154.932, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/bY6ZzQmtOzk/pics/bY6ZzQmtOzk154932.jpg'}, {'end': 266.02, 'src': 'heatmap', 'start': 199.034, 'weight': 2, 'content': [{'end': 202.696, 'text': 'As you know, social media sites generate a lot of data.', 'start': 199.034, 'duration': 3.662}, {'end': 204.678, 'text': "Let's take an example of Facebook.", 'start': 202.897, 'duration': 1.781}, {'end': 209.68, 'text': 'Facebook generates over 500 plus terabytes of data every day.', 'start': 205.118, 'duration': 4.562}, {'end': 215.803, 'text': 'This data is mainly generated in terms of your photographs, videos, messages, etc.', 'start': 209.92, 'duration': 5.883}, {'end': 222.986, 'text': 'Big data also contains data of different formats like structured data, semi-structured data and unstructured data.', 'start': 216.143, 'duration': 6.843}, {'end': 226.707, 'text': 'Data like your excel sheets all fall under structured data.', 'start': 223.306, 'duration': 3.401}, {'end': 228.887, 'text': 'This data has a definite format.', 'start': 226.827, 'duration': 2.06}, {'end': 235.069, 'text': 'Your emails fall under semi-structured and your pictures and videos all fall under unstructured data.', 'start': 229.167, 'duration': 5.902}, {'end': 238.59, 'text': 'All this data together make up for big data.', 'start': 235.389, 'duration': 3.201}, {'end': 244.171, 'text': 'It is very tough to store, process and analyze big data using RDBMS.', 'start': 238.85, 'duration': 5.321}, {'end': 249.653, 'text': 'If you have looked into our previous videos, you would know that Hadoop is the solution to this.', 'start': 244.531, 'duration': 5.122}, {'end': 253.875, 'text': 'Hadoop is a framework that stores and processes big data.', 'start': 250.013, 'duration': 3.862}, {'end': 261.458, 'text': 'It stores big data using the distributed storage system and it processes big data using the parallel processing method.', 'start': 254.195, 'duration': 7.263}, {'end': 266.02, 'text': 'Hence, storing and processing big data is no more a problem using Hadoop.', 'start': 261.757, 'duration': 4.263}], 'summary': 'Facebook generates 500+ terabytes of data daily, hadoop is the solution for storing and processing big data.', 'duration': 66.986, 'max_score': 199.034, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/bY6ZzQmtOzk/pics/bY6ZzQmtOzk199034.jpg'}, {'end': 269.502, 'src': 'embed', 'start': 244.531, 'weight': 3, 'content': [{'end': 249.653, 'text': 'If you have looked into our previous videos, you would know that Hadoop is the solution to this.', 'start': 244.531, 'duration': 5.122}, {'end': 253.875, 'text': 'Hadoop is a framework that stores and processes big data.', 'start': 250.013, 'duration': 3.862}, {'end': 261.458, 'text': 'It stores big data using the distributed storage system and it processes big data using the parallel processing method.', 'start': 254.195, 'duration': 7.263}, {'end': 266.02, 'text': 'Hence, storing and processing big data is no more a problem using Hadoop.', 'start': 261.757, 'duration': 4.263}, {'end': 269.502, 'text': 'Big data in its raw form is of no use to us.', 'start': 266.46, 'duration': 3.042}], 'summary': 'Hadoop is a solution for storing and processing big data using distributed storage and parallel processing.', 'duration': 24.971, 'max_score': 244.531, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/bY6ZzQmtOzk/pics/bY6ZzQmtOzk244531.jpg'}], 'start': 3.171, 'title': 'Big data analytics', 'summary': "Provides an overview of big data analytics, covering its necessity, lifecycle, types, tools, and application domains. it explores spotify's use of big data analytics to analyze user data from 96 million users, personalize song recommendations, engage users, and predict user preferences. additionally, it explains the concept of big data, emphasizing its massive amounts, generation rate, and the role of hadoop, with facebook generating over 500 terabytes of data daily.", 'chapters': [{'end': 42.266, 'start': 3.171, 'title': 'Big data analytics overview', 'summary': 'Discusses the necessity of big data analytics, covering its lifecycle, types, tools, and application domains, emphasizing the importance of understanding its significance before delving into its specifics.', 'duration': 39.095, 'highlights': ['The necessity of understanding why Big Data Analytics is required before delving into its specifics, emphasizing its importance.', 'Covering the lifecycle, types, tools, and application domains of Big Data Analytics to provide a comprehensive overview.', 'Emphasizing the importance of understanding why Big Data Analytics is required with an example to illustrate its relevance to the audience.']}, {'end': 154.732, 'start': 42.566, 'title': 'Big data analytics at spotify', 'summary': 'Explores how spotify utilizes big data analytics to analyze user data from 96 million users, personalize song recommendations, engage users, and predict user preferences, enhancing user experience and retention.', 'duration': 112.166, 'highlights': ['Spotify has nearly 96 plus million users and all these users generate a tremendous amount of data. Spotify has a user base of nearly 96 million, generating a substantial volume of data.', 'Spotify analyses this big data for suggesting songs to its users, providing each user with a personalized recommendation list based on their likes, past history, and playlists. Spotify uses big data analytics to offer personalized song recommendations to users, enhancing user engagement.', 'The recommendation system accurately predicts what a user would like to listen to next with the help of big data analytics, leading to longer user engagement on the platform. The recommendation system, powered by big data analytics, accurately predicts user preferences, leading to longer user engagement.']}, {'end': 269.502, 'start': 154.932, 'title': 'Understanding big data', 'summary': 'Explains the concept of big data, highlighting its massive amounts, generation rate, and the role of hadoop in storing and processing it, with facebook generating over 500 terabytes of data daily.', 'duration': 114.57, 'highlights': ['Hadoop is a framework that stores and processes big data using distributed storage and parallel processing method, solving the problem of handling big data. (Relevance: 5)', 'Facebook generates over 500 plus terabytes of data every day, mainly in the form of photographs, videos, and messages, showcasing the massive amount and variety of data generated. (Relevance: 4)', 'Big data is defined as data sets that cannot be handled by traditional computers or tools due to their value, volume, velocity, and veracity, emphasizing the challenges posed by big data. (Relevance: 3)', 'Big data includes data of different formats like structured, semi-structured, and unstructured data, illustrating the diverse nature of big data. (Relevance: 2)', 'There are millions of data sources generating data at a very rapid rate, highlighting the continuous and rapid generation of data. (Relevance: 1)']}], 'duration': 266.331, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/bY6ZzQmtOzk/pics/bY6ZzQmtOzk3171.jpg', 'highlights': ['Spotify uses big data analytics to offer personalized song recommendations to users, enhancing user engagement.', 'The recommendation system, powered by big data analytics, accurately predicts user preferences, leading to longer user engagement.', 'Facebook generates over 500 plus terabytes of data every day, mainly in the form of photographs, videos, and messages, showcasing the massive amount and variety of data generated.', 'Hadoop is a framework that stores and processes big data using distributed storage and parallel processing method, solving the problem of handling big data.', 'Big data is defined as data sets that cannot be handled by traditional computers or tools due to their value, volume, velocity, and veracity, emphasizing the challenges posed by big data.']}, {'end': 614.363, 'segs': [{'end': 346.174, 'src': 'heatmap', 'start': 269.883, 'weight': 1, 'content': [{'end': 276.307, 'text': 'We must try to derive meaningful information from it in order to benefit from this big data.', 'start': 269.883, 'duration': 6.424}, {'end': 284.092, 'text': 'Do you know Amazon uses big data to monitor its items that are in its fulfillment centers across the globe?', 'start': 276.567, 'duration': 7.525}, {'end': 286.014, 'text': 'How do you think Amazon does this?', 'start': 284.332, 'duration': 1.682}, {'end': 291.597, 'text': 'Well, it is done by analyzing big data, which is known as big data analytics.', 'start': 286.234, 'duration': 5.363}, {'end': 293.659, 'text': 'What is big data analytics?', 'start': 291.998, 'duration': 1.661}, {'end': 302.704, 'text': 'In simple terms, big data analytics is defined as the process which is used to extract meaningful information from big data.', 'start': 294.019, 'duration': 8.685}, {'end': 308.227, 'text': 'This information could be your hidden patterns, unknown correlations, market trends, and so on.', 'start': 302.944, 'duration': 5.283}, {'end': 312.229, 'text': 'By using big data analytics, there are many advantages.', 'start': 308.547, 'duration': 3.682}, {'end': 318.173, 'text': 'It can be used for better decision-making, to prevent fraudulent activities, and many others.', 'start': 312.61, 'duration': 5.563}, {'end': 320.895, 'text': 'We will look into four of them step by step.', 'start': 318.413, 'duration': 2.482}, {'end': 325.739, 'text': 'I will first start off with big data analytics which is used for risk management.', 'start': 321.195, 'duration': 4.544}, {'end': 331.583, 'text': 'BDO which is a Philippine banking company uses big data analytics for risk management.', 'start': 326.139, 'duration': 5.444}, {'end': 337.828, 'text': 'Risk management is an important aspect for any organization, especially in the field of banking.', 'start': 331.863, 'duration': 5.965}, {'end': 346.174, 'text': 'Risk management analysis comprises a series of measures which are employed to prevent any sort of unauthorized activities.', 'start': 338.168, 'duration': 8.006}], 'summary': 'Amazon uses big data analytics to monitor items in its global fulfillment centers, while bdo in the philippines leverages big data analytics for risk management.', 'duration': 48.29, 'max_score': 269.883, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/bY6ZzQmtOzk/pics/bY6ZzQmtOzk269883.jpg'}, {'end': 402.209, 'src': 'embed', 'start': 338.168, 'weight': 0, 'content': [{'end': 346.174, 'text': 'Risk management analysis comprises a series of measures which are employed to prevent any sort of unauthorized activities.', 'start': 338.168, 'duration': 8.006}, {'end': 350.557, 'text': 'Identifying fraudulent activities was a main concern for BDO.', 'start': 346.514, 'duration': 4.043}, {'end': 355.761, 'text': 'It was difficult for the bank to identify the fraudster from a long list of suspects.', 'start': 350.837, 'duration': 4.924}, {'end': 361.725, 'text': 'BDO adopted big data analytics which helped the bank to narrow down the entire list of suspects.', 'start': 356.141, 'duration': 5.584}, {'end': 366.668, 'text': 'Thus, the organization was able to identify the fraudster in a very short time.', 'start': 361.965, 'duration': 4.703}, {'end': 371.712, 'text': 'This is how big data analytics is used in the field of banking for risk management.', 'start': 366.748, 'duration': 4.964}, {'end': 378.256, 'text': 'Let us now see how big data analytics is used for product development and innovations with an example.', 'start': 371.992, 'duration': 6.264}, {'end': 381.017, 'text': 'All of you are aware of Rolls Royce cars, right?', 'start': 378.456, 'duration': 2.561}, {'end': 385.98, 'text': 'Do you also know that they manufacture jet engines which are used across the world?', 'start': 381.197, 'duration': 4.783}, {'end': 392.804, 'text': 'What is more interesting is that they use big data analytics for developing and innovating this engine.', 'start': 386.24, 'duration': 6.564}, {'end': 396.946, 'text': 'A new product is always developed by trial and error method.', 'start': 393.044, 'duration': 3.902}, {'end': 402.209, 'text': 'Big data analytics is used here to analyze if an engine design is good or bad.', 'start': 397.206, 'duration': 5.003}], 'summary': 'Bdo used big data analytics to identify fraudster, rolls royce used it for jet engine innovation.', 'duration': 64.041, 'max_score': 338.168, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/bY6ZzQmtOzk/pics/bY6ZzQmtOzk338168.jpg'}, {'end': 496.893, 'src': 'embed', 'start': 469.654, 'weight': 5, 'content': [{'end': 473.817, 'text': 'They decide the location of their new outlet using big data analytics.', 'start': 469.654, 'duration': 4.163}, {'end': 478.12, 'text': 'Choosing the right location is an important factor for any organization.', 'start': 474.037, 'duration': 4.083}, {'end': 483.163, 'text': 'The wrong location will not be able to attract the required amount of customers.', 'start': 478.34, 'duration': 4.823}, {'end': 491.81, 'text': 'Positioning of a new outlet a few miles here or there can always make a huge difference for an outlet, especially a one like Starbucks.', 'start': 483.424, 'duration': 8.386}, {'end': 496.893, 'text': 'Various factors are involved in choosing the right location for a new outlet.', 'start': 492.23, 'duration': 4.663}], 'summary': 'Using big data analytics, they select the optimal outlet location for maximum customer attraction.', 'duration': 27.239, 'max_score': 469.654, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/bY6ZzQmtOzk/pics/bY6ZzQmtOzk469654.jpg'}, {'end': 582.417, 'src': 'embed', 'start': 554.185, 'weight': 6, 'content': [{'end': 559.99, 'text': 'Delta, an American airline, uses big data analytics to improve its customer experiences.', 'start': 554.185, 'duration': 5.805}, {'end': 562.751, 'text': 'With the increase in global air travel,', 'start': 560.31, 'duration': 2.441}, {'end': 570.113, 'text': 'it is necessary that an airline does everything they can in order to provide good service and experience to its customers.', 'start': 562.751, 'duration': 7.362}, {'end': 576.375, 'text': 'Delta Airlines improves its customer experience by making use of big data analytics.', 'start': 570.493, 'duration': 5.882}, {'end': 582.417, 'text': "This is done by monitoring tweets, which will give them an idea as to how their customer's journey was.", 'start': 576.755, 'duration': 5.662}], 'summary': 'Delta airlines uses big data analytics to enhance customer experience by monitoring tweets.', 'duration': 28.232, 'max_score': 554.185, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/bY6ZzQmtOzk/pics/bY6ZzQmtOzk554185.jpg'}], 'start': 269.883, 'title': 'Big data analytics applications', 'summary': 'Covers applications of big data analytics in risk management and banking, including fraud prevention, suspect identification, product development for rolls royce jet engines, decision-making processes in organizations, and customer experience enhancement for delta airlines.', 'chapters': [{'end': 361.725, 'start': 269.883, 'title': 'Big data analytics in risk management', 'summary': 'Discusses the use of big data analytics in risk management, highlighting its role in preventing fraudulent activities, with bdo as an example, using big data analytics to narrow down a list of suspects.', 'duration': 91.842, 'highlights': ['BDO adopted big data analytics to narrow down the entire list of fraud suspects, improving the identification of fraudulent activities.', 'Amazon utilizes big data to monitor items in its fulfillment centers globally, demonstrating the practical application of big data analytics.', 'Big data analytics is defined as the process used to extract meaningful information from big data, uncovering hidden patterns, unknown correlations, and market trends.', 'The advantages of big data analytics include better decision-making and prevention of fraudulent activities.']}, {'end': 614.363, 'start': 361.965, 'title': 'Big data analytics in banking, product development, and customer experience', 'summary': 'Discusses how big data analytics is used in banking for risk management, product development for rolls royce jet engines, decision-making in organizations, and improving customer experiences for delta airlines.', 'duration': 252.398, 'highlights': ['Big data analytics used to identify fraudster in banking The organization identified the fraudster in a very short time using big data analytics.', 'Rolls Royce uses big data analytics for product development of jet engines Rolls Royce uses big data analytics to analyze engine design, improve previous models, and save time in product development.', 'Starbucks uses big data analytics for choosing new outlet locations Starbucks uses big data analytics to thoroughly analyze factors like visibility, accessibility, economic factors, and competition before deciding on new outlet locations.', 'Delta Airlines utilizes big data analytics to improve customer experiences Delta Airlines uses big data analytics to monitor tweets, address negative feedback, and provide upgrades to improve customer experiences and build brand recognition.']}], 'duration': 344.48, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/bY6ZzQmtOzk/pics/bY6ZzQmtOzk269883.jpg', 'highlights': ['BDO adopted big data analytics to narrow down the entire list of fraud suspects, improving the identification of fraudulent activities.', 'Amazon utilizes big data to monitor items in its fulfillment centers globally, demonstrating the practical application of big data analytics.', 'Big data analytics is defined as the process used to extract meaningful information from big data, uncovering hidden patterns, unknown correlations, and market trends.', 'The advantages of big data analytics include better decision-making and prevention of fraudulent activities.', 'Rolls Royce uses big data analytics for product development of jet engines Rolls Royce uses big data analytics to analyze engine design, improve previous models, and save time in product development.', 'Starbucks uses big data analytics for choosing new outlet locations Starbucks uses big data analytics to thoroughly analyze factors like visibility, accessibility, economic factors, and competition before deciding on new outlet locations.', 'Delta Airlines utilizes big data analytics to improve customer experiences Delta Airlines uses big data analytics to monitor tweets, address negative feedback, and provide upgrades to improve customer experiences and build brand recognition.', 'Big data analytics used to identify fraudster in banking The organization identified the fraudster in a very short time using big data analytics.']}, {'end': 1050.536, 'segs': [{'end': 672.006, 'src': 'heatmap', 'start': 614.684, 'weight': 0.9, 'content': [{'end': 619.287, 'text': 'Moving on to our next topic, that is, Lifecycle of Big Data Analytics.', 'start': 614.684, 'duration': 4.603}, {'end': 624.45, 'text': 'Here we will look into the various stages as to how data is analysed from scratch.', 'start': 619.507, 'duration': 4.943}, {'end': 628.214, 'text': 'The first stage is the business case evaluation stage.', 'start': 624.85, 'duration': 3.364}, {'end': 631.977, 'text': 'Here, the motive behind the analysis is identified.', 'start': 628.434, 'duration': 3.543}, {'end': 640.546, 'text': 'We need to understand why we are analysing so that we know how to do it and what are the different parameters that have to be looked into.', 'start': 632.198, 'duration': 8.348}, {'end': 646.973, 'text': 'Once this is done, it is clear for us and it becomes much easier for us to proceed with the rest.', 'start': 640.847, 'duration': 6.126}, {'end': 656.099, 'text': 'after which we will look into the various data sources from where we can gather all the data which will be required for analysis.', 'start': 647.373, 'duration': 8.726}, {'end': 663.924, 'text': 'Once we get the required data, we will have to see if the data that we received is fit for analysis or not.', 'start': 656.599, 'duration': 7.325}, {'end': 668.405, 'text': 'Not all the data that we receive will have meaningful information.', 'start': 664.224, 'duration': 4.181}, {'end': 672.006, 'text': 'Some of it will surely just be corrupt data.', 'start': 668.665, 'duration': 3.341}], 'summary': 'Lifecycle of big data analytics involves business case evaluation, data source identification, and data validation for meaningful analysis.', 'duration': 57.322, 'max_score': 614.684, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/bY6ZzQmtOzk/pics/bY6ZzQmtOzk614684.jpg'}, {'end': 719.807, 'src': 'heatmap', 'start': 683.828, 'weight': 0.706, 'content': [{'end': 688.409, 'text': 'Do you think our data is now fit for analysis? Well, it is not.', 'start': 683.828, 'duration': 4.581}, {'end': 695.273, 'text': 'We still have to figure out which data will be compatible with the tool that we will be using for analysis.', 'start': 688.709, 'duration': 6.564}, {'end': 704.54, 'text': 'If we find data which is incompatible, we first extract it and then transform it to a compatible form depending on the tool that we use.', 'start': 695.554, 'duration': 8.986}, {'end': 709.523, 'text': 'In the next stage, all the data with the same fields will be integrated.', 'start': 704.92, 'duration': 4.603}, {'end': 712.325, 'text': 'This is known as the data aggregation stage.', 'start': 709.543, 'duration': 2.782}, {'end': 719.807, 'text': 'The next stage which is the analysis stage is a very important stage in the life cycle of big data analytics.', 'start': 712.685, 'duration': 7.122}], 'summary': 'Data needs transformation for analysis. aggregation and analysis are crucial stages in big data analytics.', 'duration': 35.979, 'max_score': 683.828, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/bY6ZzQmtOzk/pics/bY6ZzQmtOzk683828.jpg'}, {'end': 772.461, 'src': 'heatmap', 'start': 731.691, 'weight': 0.73, 'content': [{'end': 742.175, 'text': 'Like we have discussed before, the entire process of deriving meaningful information from data which is known as analysis is done here in this stage.', 'start': 731.691, 'duration': 10.484}, {'end': 750.963, 'text': 'The result of the data analysis stage is then graphically communicated using tools like Tableau, Power BI, Clickview.', 'start': 742.595, 'duration': 8.368}, {'end': 758.43, 'text': 'This analysis result will then be made available to different business stakeholders for various decision making.', 'start': 751.243, 'duration': 7.187}, {'end': 762.013, 'text': 'This was the entire lifecycle of Big Data Analytics.', 'start': 758.69, 'duration': 3.323}, {'end': 766.077, 'text': 'We just saw how data is analyzed from scratch.', 'start': 762.233, 'duration': 3.844}, {'end': 772.461, 'text': 'Now we will move on to a very important topic that is the different types of big data analytics.', 'start': 766.557, 'duration': 5.904}], 'summary': 'Data analysis stage uses tools like tableau, power bi, clickview to communicate results to business stakeholders.', 'duration': 40.77, 'max_score': 731.691, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/bY6ZzQmtOzk/pics/bY6ZzQmtOzk731691.jpg'}, {'end': 887.783, 'src': 'embed', 'start': 867.693, 'weight': 2, 'content': [{'end': 879.579, 'text': 'The Dow Chemical company analyzed all its past data using descriptive analytics and by doing so they were able to identify the underutilized space in their facility.', 'start': 867.693, 'duration': 11.886}, {'end': 883.541, 'text': 'Descriptive analytics helped them in this space consolidation.', 'start': 879.759, 'duration': 3.782}, {'end': 887.783, 'text': 'On the whole, the company was able to save nearly $4 million annually.', 'start': 883.821, 'duration': 3.962}], 'summary': 'Dow chemical saved $4 million annually by using descriptive analytics to identify underutilized space.', 'duration': 20.09, 'max_score': 867.693, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/bY6ZzQmtOzk/pics/bY6ZzQmtOzk867693.jpg'}, {'end': 984.056, 'src': 'embed', 'start': 956.728, 'weight': 1, 'content': [{'end': 961.769, 'text': 'I will run you through an example which shows where diagnostic analytics can be used.', 'start': 956.728, 'duration': 5.041}, {'end': 964.23, 'text': 'All of us shop on e-commerce sites right??', 'start': 962.03, 'duration': 2.2}, {'end': 968.632, 'text': 'Have you ever added items to your cart but ended up not buying it??', 'start': 964.47, 'duration': 4.162}, {'end': 971.612, 'text': 'Yes, all of us might have done that at some point.', 'start': 968.872, 'duration': 2.74}, {'end': 979.655, 'text': "An organization tries to understand why its customers don't end up buying their products although it has been added to their carts.", 'start': 971.873, 'duration': 7.782}, {'end': 984.056, 'text': 'And this understanding is done with the help of diagnostic analytics.', 'start': 979.975, 'duration': 4.081}], 'summary': "Diagnostic analytics helps understand why customers don't complete purchases, using e-commerce as an example.", 'duration': 27.328, 'max_score': 956.728, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/bY6ZzQmtOzk/pics/bY6ZzQmtOzk956728.jpg'}, {'end': 1057.582, 'src': 'embed', 'start': 1026.866, 'weight': 0, 'content': [{'end': 1031.887, 'text': 'It analyzes the current and historical facts to make predictions about future.', 'start': 1026.866, 'duration': 5.021}, {'end': 1035.127, 'text': 'It always asks the question what will happen next.', 'start': 1032.146, 'duration': 2.981}, {'end': 1042.71, 'text': 'Predictive analytics is used with the help of artificial intelligence, machine learning, data mining to analyze the data.', 'start': 1035.407, 'duration': 7.303}, {'end': 1048.435, 'text': 'It can be used for predicting customer trends, market trends, customer behavior, etc.', 'start': 1042.99, 'duration': 5.445}, {'end': 1050.536, 'text': 'It solely works on probability.', 'start': 1048.655, 'duration': 1.881}, {'end': 1057.582, 'text': 'It always tries to understand what can happen next with the help of all the past and current information.', 'start': 1050.817, 'duration': 6.765}], 'summary': 'Predictive analytics uses ai and ml to analyze data for predicting customer and market trends based on historical information.', 'duration': 30.716, 'max_score': 1026.866, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/bY6ZzQmtOzk/pics/bY6ZzQmtOzk1026866.jpg'}], 'start': 614.684, 'title': 'Big data analytics lifecycle & types', 'summary': 'Explores the lifecycle of big data analytics, covering stages such as business case evaluation, data source identification, data filtering, and data transformation for compatibility with analysis tools. it also delves into the four types of big data analytics: descriptive, diagnostic, predictive, and prescriptive, providing examples and use cases for each.', 'chapters': [{'end': 704.54, 'start': 614.684, 'title': 'Big data analytics lifecycle', 'summary': 'Explores the lifecycle of big data analytics, covering stages such as business case evaluation, data source identification, data filtering, and data transformation for compatibility with analysis tools.', 'duration': 89.856, 'highlights': ['The business case evaluation stage involves identifying the motive behind the analysis, making it easier to proceed with data gathering and analysis.', 'Data filtering stage involves removing corrupt data, ensuring the quality and reliability of the data for analysis.', 'The process includes identifying and transforming data to a compatible form depending on the tool used for analysis.', 'Understanding the motive behind analysis is crucial for proceeding with data gathering and analysis.']}, {'end': 1050.536, 'start': 704.92, 'title': 'Big data analytics lifecycle & types', 'summary': 'Describes the lifecycle of big data analytics, including data aggregation, analysis, and result communication, and then delves into the four types of big data analytics: descriptive, diagnostic, predictive, and prescriptive, providing examples and use cases for each.', 'duration': 345.616, 'highlights': ['Descriptive Analytics use case: The Dow Chemical company saved nearly $4 million annually by identifying underutilized space in their facility through descriptive analytics. The Dow Chemical company utilized descriptive analytics to analyze past data and identify underutilized space in their facility, resulting in an annual cost savings of nearly $4 million.', "Diagnostic Analytics example: E-commerce site used diagnostic analytics to understand why customers added items to their carts but didn't make purchases, leading to the identification of root causes for low online sales. An e-commerce site utilized diagnostic analytics to understand why customers added items to their carts but didn't make purchases, leading to the identification of root causes for low online sales, such as high shipping fees and technical issues.", 'Predictive Analytics overview: Predictive analytics makes predictions about the future based on current and historical data, using artificial intelligence, machine learning, and data mining to analyze customer trends, market trends, and behavior. Predictive analytics utilizes artificial intelligence, machine learning, and data mining to make predictions about the future, analyzing customer trends, market trends, and behavior based on current and historical data.']}], 'duration': 435.852, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/bY6ZzQmtOzk/pics/bY6ZzQmtOzk614684.jpg', 'highlights': ['Predictive analytics utilizes artificial intelligence, machine learning, and data mining to make predictions about the future, analyzing customer trends, market trends, and behavior based on current and historical data.', "Diagnostic analytics example: E-commerce site used diagnostic analytics to understand why customers added items to their carts but didn't make purchases, leading to the identification of root causes for low online sales, such as high shipping fees and technical issues.", 'Descriptive Analytics use case: The Dow Chemical company saved nearly $4 million annually by identifying underutilized space in their facility through descriptive analytics.']}, {'end': 1197.723, 'segs': [{'end': 1074.975, 'src': 'embed', 'start': 1050.817, 'weight': 0, 'content': [{'end': 1057.582, 'text': 'It always tries to understand what can happen next with the help of all the past and current information.', 'start': 1050.817, 'duration': 6.765}, {'end': 1061.766, 'text': 'A company like PayPal, which has 260 plus million accounts,', 'start': 1057.802, 'duration': 3.964}, {'end': 1068.811, 'text': 'always has the need to ensure that their online fraudulent and unauthorized activities are brought down to nil.', 'start': 1061.766, 'duration': 7.045}, {'end': 1074.975, 'text': 'Fear of constant fraudulent activities have always been a major concern for PayPal.', 'start': 1069.032, 'duration': 5.943}], 'summary': 'Paypal aims to reduce fraudulent activities with 260+ million accounts.', 'duration': 24.158, 'max_score': 1050.817, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/bY6ZzQmtOzk/pics/bY6ZzQmtOzk1050817.jpg'}, {'end': 1186.154, 'src': 'embed', 'start': 1161.44, 'weight': 1, 'content': [{'end': 1166.884, 'text': 'As we saw earlier, descriptive analytics always asks the question what has happened?', 'start': 1161.44, 'duration': 5.444}, {'end': 1170.827, 'text': 'And predictive analytics helps you understand what can happen next.', 'start': 1167.104, 'duration': 3.723}, {'end': 1179.631, 'text': 'With the help of artificial intelligence and machine learning, prescriptive analytics helps you arrive at the best solution for a particular problem.', 'start': 1171.167, 'duration': 8.464}, {'end': 1186.154, 'text': 'Various business rules, algorithms, and computational modeling procedures are used in prescriptive analytics.', 'start': 1179.891, 'duration': 6.263}], 'summary': 'Descriptive analytics answers what happened, predictive analytics forecasts what can happen, and prescriptive analytics uses ai and machine learning to find the best solution for a problem.', 'duration': 24.714, 'max_score': 1161.44, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/bY6ZzQmtOzk/pics/bY6ZzQmtOzk1161440.jpg'}], 'start': 1050.817, 'title': "Paypal's fraud prevention analytics", 'summary': "Focuses on paypal's use of predictive analytics to analyze and prevent fraudulent activities, protecting 260 million accounts and maintaining brand trust. it also discusses prescriptive analytics in business decision-making.", 'chapters': [{'end': 1197.723, 'start': 1050.817, 'title': 'Paypal fraud prevention analytics', 'summary': 'Highlights how paypal, with 260 million accounts, uses predictive analytics to analyze and prevent fraudulent activities, in order to protect its clients and maintain trust in the brand, while also explaining prescriptive analytics and its application in business decision-making.', 'duration': 146.906, 'highlights': ['PayPal uses predictive analytics to analyze past data and customer behavior trends to predict and prevent fraudulent activities, safeguarding its 260 million accounts and maintaining trust in the brand. PayPal, with 260 plus million accounts, uses predictive analytics to analyze past data, customer behavior trends, and build algorithms to predict and prevent fraudulent activities.', 'Prescriptive analytics, utilizing artificial intelligence and machine learning, provides the best solutions for current problems, employing various business rules, algorithms, and computational modeling procedures. Prescriptive analytics uses artificial intelligence and machine learning to provide the best solutions for current problems, employing various business rules, algorithms, and computational modeling procedures.']}], 'duration': 146.906, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/bY6ZzQmtOzk/pics/bY6ZzQmtOzk1050817.jpg', 'highlights': ['PayPal uses predictive analytics to analyze past data and customer behavior trends to predict and prevent fraudulent activities, safeguarding its 260 million accounts and maintaining trust in the brand.', 'Prescriptive analytics, utilizing artificial intelligence and machine learning, provides the best solutions for current problems, employing various business rules, algorithms, and computational modeling procedures.']}, {'end': 1437.271, 'segs': [{'end': 1263.363, 'src': 'embed', 'start': 1218.581, 'weight': 0, 'content': [{'end': 1222.965, 'text': 'Holiday seasons are a time when the rates are much higher than the normal days.', 'start': 1218.581, 'duration': 4.384}, {'end': 1229.252, 'text': 'Seasons like Christmas and school vacations also weakens the rates will be much higher than weekdays.', 'start': 1223.146, 'duration': 6.106}, {'end': 1233.516, 'text': "Another factor which determines a flight's fare is your destination.", 'start': 1229.512, 'duration': 4.004}, {'end': 1239.502, 'text': 'Depending on the place where you are travelling to, the flight fare will be adjusted accordingly.', 'start': 1233.736, 'duration': 5.766}, {'end': 1248.17, 'text': 'this is because there are quite a few places where the air traffic is less, and in such places the flights fare will also be less so.', 'start': 1239.702, 'duration': 8.468}, {'end': 1257.018, 'text': "prescriptive analytics analyzes all these factors that are discussed and it builds an algorithm which will automatically adjust a flight's fare.", 'start': 1248.17, 'duration': 8.848}, {'end': 1261.181, 'text': 'by doing so, the airline is able to maximize its profit.', 'start': 1257.018, 'duration': 4.163}, {'end': 1263.363, 'text': 'these were the four types of analytics.', 'start': 1261.181, 'duration': 2.182}], 'summary': 'Holiday seasons and destination affect flight fares, prescriptive analytics maximizes profit.', 'duration': 44.782, 'max_score': 1218.581, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/bY6ZzQmtOzk/pics/bY6ZzQmtOzk1218581.jpg'}, {'end': 1387.271, 'src': 'heatmap', 'start': 1281.904, 'weight': 2, 'content': [{'end': 1284.646, 'text': 'We will look into each one of them one by one.', 'start': 1281.904, 'duration': 2.742}, {'end': 1286.647, 'text': 'We will first start off with Hadoop.', 'start': 1284.886, 'duration': 1.761}, {'end': 1292.89, 'text': "When you speak of big data, the first framework that comes into everyone's mind is Hadoop, isn't it??", 'start': 1286.827, 'duration': 6.063}, {'end': 1300.614, 'text': 'As I mentioned earlier, Apache, Hadoop is used to store and process big data in a distributed and parallel fashion.', 'start': 1293.19, 'duration': 7.424}, {'end': 1303.738, 'text': 'It allows us to process data very fast.', 'start': 1300.954, 'duration': 2.784}, {'end': 1309.124, 'text': 'Hadoop uses MapReduce, Big and High for analyzing this big data.', 'start': 1303.978, 'duration': 5.146}, {'end': 1312.929, 'text': 'Hadoop is easily one of the most famous big data tools.', 'start': 1309.264, 'duration': 3.665}, {'end': 1316.333, 'text': 'Now let us move on to the next one that is MongoDB.', 'start': 1313.269, 'duration': 3.064}, {'end': 1320.698, 'text': 'MongoDB is a cross-platform, document-oriented database.', 'start': 1316.753, 'duration': 3.945}, {'end': 1325.484, 'text': 'It has the ability to deal with large amount of unstructured data.', 'start': 1320.938, 'duration': 4.546}, {'end': 1333.313, 'text': 'Processing of data which is unstructured and processing of datasets that change very frequently is done using MongoDB.', 'start': 1325.624, 'duration': 7.689}, {'end': 1340.4, 'text': 'Talendee provides software and services for data integration, data management, and cloud storage.', 'start': 1333.553, 'duration': 6.847}, {'end': 1343.163, 'text': 'It specializes in big data integration.', 'start': 1340.6, 'duration': 2.563}, {'end': 1350.551, 'text': 'Talendee Open Studio is a free open source tool for processing data easily on a big data environment.', 'start': 1343.323, 'duration': 7.228}, {'end': 1356.236, 'text': 'Cassandra is used widely for an effective management of large amounts of data.', 'start': 1350.891, 'duration': 5.345}, {'end': 1363.422, 'text': 'It is similar to Hadoop in its feature of fault tolerance where data is automatically replicated to multiple nodes.', 'start': 1356.396, 'duration': 7.026}, {'end': 1366.385, 'text': 'Cassandra is preferred for real-time processing.', 'start': 1363.622, 'duration': 2.763}, {'end': 1369.806, 'text': 'Spark is another tool that is used for data processing.', 'start': 1366.685, 'duration': 3.121}, {'end': 1375.608, 'text': 'This data processing engine is developed to process data way faster than Hadoop MapReduce.', 'start': 1369.946, 'duration': 5.662}, {'end': 1387.271, 'text': 'This is done in a way because Spark does all the processing in the main memory of the data nodes and thus it prevents unnecessary input-output overheads with the disk.', 'start': 1375.848, 'duration': 11.423}], 'summary': 'Overview of big data tools: hadoop, mongodb, talendee, cassandra, and spark for fast, distributed, and real-time data processing.', 'duration': 100.444, 'max_score': 1281.904, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/bY6ZzQmtOzk/pics/bY6ZzQmtOzk1281904.jpg'}, {'end': 1437.271, 'src': 'embed', 'start': 1414.363, 'weight': 5, 'content': [{'end': 1421.906, 'text': 'Kafka is a distributed streaming platform which was developed by LinkedIn and later given to Apache Software Foundation.', 'start': 1414.363, 'duration': 7.543}, {'end': 1429.128, 'text': 'It is used to provide real-time analytics result and it is also used for fault tolerant storage.', 'start': 1422.166, 'duration': 6.962}, {'end': 1431.989, 'text': 'These were few of the big data analytics tools.', 'start': 1429.488, 'duration': 2.501}, {'end': 1437.271, 'text': 'Now, let us move on to our last topic for today that is big data application domains.', 'start': 1432.229, 'duration': 5.042}], 'summary': 'Kafka: distributed streaming platform for real-time analytics and fault-tolerant storage.', 'duration': 22.908, 'max_score': 1414.363, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/bY6ZzQmtOzk/pics/bY6ZzQmtOzk1414363.jpg'}], 'start': 1197.984, 'title': 'Flight ticket pricing factors and big data tools', 'summary': 'Discusses how internal and external factors affect flight ticket prices, including oil prices, customer demand, holiday seasons, and destination, and explores the use of prescriptive analytics. it also provides an overview of big data tools such as hadoop, mongodb, talendee, cassandra, spark, and kafka, highlighting their features and applications in big data analytics.', 'chapters': [{'end': 1263.363, 'start': 1197.984, 'title': 'Factors affecting flight ticket prices', 'summary': 'Explains how various internal and external factors, such as oil prices, customer demand, holiday seasons, and destination, influence the fluctuation of flight ticket prices, and highlights the use of prescriptive analytics to maximize airline profits.', 'duration': 65.379, 'highlights': ['Prescriptive analytics analyzes factors like oil prices, customer demand, holiday seasons, and destination to automatically adjust flight fares, maximizing airline profit.', 'Holiday seasons and specific periods like Christmas and school vacations significantly impact flight rates, leading to higher fares than normal days.', 'The price of a flight ticket depends on various factors, including taxes, seat selection, oil prices, customer demand, and destination, which are all considered before the fare is displayed.', 'Flight fares are also influenced by the level of air traffic in a destination, with areas of lower air traffic generally having lower flight fares.']}, {'end': 1437.271, 'start': 1263.363, 'title': 'Big data tools overview', 'summary': 'Covers an overview of various big data tools including hadoop, mongodb, talendee, cassandra, spark, and kafka, emphasizing their features and applications in big data analytics.', 'duration': 173.908, 'highlights': ['Hadoop is used to store and process big data in a distributed and parallel fashion, allowing fast data processing and is widely recognized in big data tools. Hadoop is a widely recognized big data tool, used for distributed and parallel processing of big data, enabling fast data processing.', 'Spark is developed to process data faster than Hadoop MapReduce by utilizing main memory of data nodes, reducing unnecessary input-output overheads with the disk. Spark processes data faster than Hadoop MapReduce by utilizing main memory, reducing input-output overheads with the disk.', 'Cassandra is widely used for effective management of large data, providing features like fault tolerance and automatic data replication to multiple nodes. Cassandra is used for effective management of large data, offering fault tolerance and automatic data replication.', 'Kafka is a distributed streaming platform used for real-time analytics and fault-tolerant storage, developed by LinkedIn and later given to Apache Software Foundation. Kafka is a distributed streaming platform used for real-time analytics and fault-tolerant storage, developed by LinkedIn and given to Apache Software Foundation.', 'MongoDB is a cross-platform, document-oriented database used for dealing with large amounts of unstructured data and processing frequently changing datasets. MongoDB is used for dealing with large amounts of unstructured data and processing frequently changing datasets.']}], 'duration': 239.287, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/bY6ZzQmtOzk/pics/bY6ZzQmtOzk1197984.jpg', 'highlights': ['Prescriptive analytics adjusts flight fares based on factors like oil prices, customer demand, and destination.', 'Holiday seasons and specific periods significantly impact flight rates, leading to higher fares.', 'Hadoop stores and processes big data in a distributed and parallel fashion, enabling fast data processing.', 'Spark processes data faster than Hadoop MapReduce by utilizing main memory, reducing input-output overheads.', 'Cassandra is used for effective management of large data, offering fault tolerance and automatic data replication.', 'Kafka is a distributed streaming platform used for real-time analytics and fault-tolerant storage.', 'MongoDB is used for dealing with large amounts of unstructured data and processing frequently changing datasets.']}, {'end': 1706.779, 'segs': [{'end': 1479.877, 'src': 'embed', 'start': 1437.591, 'weight': 0, 'content': [{'end': 1443.136, 'text': 'Here we will look into the various sectors where big data analytics is actively used.', 'start': 1437.591, 'duration': 5.545}, {'end': 1445.318, 'text': 'The first sector is e-commerce.', 'start': 1443.437, 'duration': 1.881}, {'end': 1451.684, 'text': 'Nearly 45% of the world is online and they create a lot of data every second.', 'start': 1445.619, 'duration': 6.065}, {'end': 1460.713, 'text': 'Big data can be used smartly in the field of e-commerce by predicting customer trend, forecasting demands, adjusting the price and so on.', 'start': 1452.005, 'duration': 8.708}, {'end': 1469.984, 'text': 'Online retailers have the opportunity to create better shopping experience and generate higher sales if big data analytics is used correctly.', 'start': 1461.073, 'duration': 8.911}, {'end': 1474.77, 'text': "Having big data doesn't automatically lead to a better marketing strategy.", 'start': 1470.245, 'duration': 4.525}, {'end': 1479.877, 'text': 'Meaningful insights need to be derived from it in order to make right decisions.', 'start': 1474.971, 'duration': 4.906}], 'summary': 'Big data analytics is actively used in e-commerce, with nearly 45% of the world online, creating significant data every second. it can predict customer trends, forecast demands, and enhance the shopping experience, leading to higher sales if used correctly.', 'duration': 42.286, 'max_score': 1437.591, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/bY6ZzQmtOzk/pics/bY6ZzQmtOzk1437591.jpg'}, {'end': 1532.029, 'src': 'embed', 'start': 1502.566, 'weight': 3, 'content': [{'end': 1507.33, 'text': 'There is no point in developing a course which has no scope in the future.', 'start': 1502.566, 'duration': 4.764}, {'end': 1514.015, 'text': 'Hence, to analyze the market requirement and to develop new courses, we use big data analytics here.', 'start': 1507.61, 'duration': 6.405}, {'end': 1522.742, 'text': "There are a number of uses of big data analytics in the field of healthcare, and one of it is to predict a patient's health issue.", 'start': 1514.315, 'duration': 8.427}, {'end': 1526.244, 'text': 'That is, with the help of their previous medical history,', 'start': 1522.942, 'duration': 3.302}, {'end': 1532.029, 'text': 'big data analytics can determine how likely they are to have a particular health issue in the future.', 'start': 1526.244, 'duration': 5.785}], 'summary': 'Utilizing big data analytics to develop courses based on market demand and predict health issues based on medical history.', 'duration': 29.463, 'max_score': 1502.566, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/bY6ZzQmtOzk/pics/bY6ZzQmtOzk1502566.jpg'}, {'end': 1642.382, 'src': 'embed', 'start': 1567.093, 'weight': 4, 'content': [{'end': 1577.767, 'text': "it is also used to analyze a customer's income and spend patterns and to help the bank predict if a particular customer is going to choose any of the bank offers,", 'start': 1567.093, 'duration': 10.674}, {'end': 1580.21, 'text': 'such as loans, credit cards, schemes and so on.', 'start': 1577.767, 'duration': 2.443}, {'end': 1586.552, 'text': 'This way, the bank is able to identify the right customer who is interested in its offers.', 'start': 1580.67, 'duration': 5.882}, {'end': 1592.055, 'text': 'It has noticed that telecom companies have begun to embrace big data to gain profit.', 'start': 1586.893, 'duration': 5.162}, {'end': 1597.137, 'text': 'Big data analytics helps in analyzing network traffic and call data records.', 'start': 1592.195, 'duration': 4.942}, {'end': 1602.459, 'text': 'It can also improve its service quality and improve its customer experience.', 'start': 1597.437, 'duration': 5.022}, {'end': 1608.023, 'text': 'Let us now look into how big data analytics is used by governments across the world.', 'start': 1602.899, 'duration': 5.124}, {'end': 1616.71, 'text': 'In the field of law enforcement, big data analytics can be applied to analyze all the available data to understand crime patterns.', 'start': 1608.343, 'duration': 8.367}, {'end': 1622.455, 'text': 'Intelligence services can use predictive analytics to forecast the crime which could be committed.', 'start': 1616.99, 'duration': 5.465}, {'end': 1628.717, 'text': 'In Durham, the police department was able to reduce the crime rate using big data analytics.', 'start': 1623.035, 'duration': 5.682}, {'end': 1637.16, 'text': 'With the help of data, police could identify whom to target, where to go, when to patrol and how to investigate crimes.', 'start': 1628.997, 'duration': 8.163}, {'end': 1642.382, 'text': 'Big data analytics helped them to discover patterns of crime emerging in the area.', 'start': 1637.42, 'duration': 4.962}], 'summary': 'Big data analytics used to predict customer behavior, enhance telecom services, and reduce crime rates.', 'duration': 75.289, 'max_score': 1567.093, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/bY6ZzQmtOzk/pics/bY6ZzQmtOzk1567093.jpg'}], 'start': 1437.591, 'title': 'Big data analytics applications', 'summary': 'Highlights active use of big data analytics in e-commerce, where nearly 45% of the world is online, creating vast amounts of data every second, enabling better customer trend prediction, demand forecasting, and pricing adjustments, ultimately leading to improved shopping experiences and higher sales. it also discusses the applications of big data analytics in marketing, education, healthcare, entertainment, banking, telecom, and law enforcement, showcasing examples and benefits.', 'chapters': [{'end': 1479.877, 'start': 1437.591, 'title': 'Big data analytics in e-commerce', 'summary': 'Highlights the active use of big data analytics in e-commerce, where nearly 45% of the world is online, creating vast amounts of data every second, enabling better customer trend prediction, demand forecasting, and pricing adjustments, ultimately leading to improved shopping experiences and higher sales.', 'duration': 42.286, 'highlights': ['Big data analytics can predict customer trends, forecast demands, and adjust prices in e-commerce, where nearly 45% of the world is online, creating vast amounts of data every second.', 'Online retailers can create better shopping experiences and generate higher sales through the smart use of big data analytics.', "Having big data doesn't automatically lead to a better marketing strategy; meaningful insights need to be derived from it to make the right decisions."]}, {'end': 1706.779, 'start': 1480.157, 'title': 'Applications of big data analytics', 'summary': 'Discusses the applications of big data analytics in marketing, education, healthcare, entertainment, banking, telecom, and law enforcement, showcasing examples and benefits.', 'duration': 226.622, 'highlights': ['Big data analytics is used for personalized marketing campaigns, resulting in better and higher sales. Personalized marketing campaigns using big data analytics can lead to improved and increased sales.', 'Big data analytics is used in education to develop new courses based on market requirements. Big data analytics is utilized in education to analyze market requirements and develop new courses tailored to the current market needs.', "Big data analytics is applied in healthcare to predict a patient's health issues based on their medical history. The use of big data analytics in healthcare allows for the prediction of a patient's future health issues by analyzing their medical history.", 'Big data analytics is utilized in banking for risk management and analyzing customer income and spending patterns. In the banking sector, big data analytics is used for risk management and to analyze customer income and spending patterns, aiding in predicting customer interest in bank offers.', 'Telecom companies use big data analytics to analyze network traffic, call data records, and improve customer experience. Big data analytics is employed by telecom companies to analyze network traffic, call data records, and enhance customer experience.', 'Big data analytics is utilized in law enforcement to analyze available data and predict crime patterns. In law enforcement, big data analytics is applied to analyze available data and predict crime patterns, leading to the reduction of crime rates in certain areas.']}], 'duration': 269.188, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/bY6ZzQmtOzk/pics/bY6ZzQmtOzk1437591.jpg', 'highlights': ['Nearly 45% of the world is online, creating vast amounts of data every second, enabling better customer trend prediction, demand forecasting, and pricing adjustments in e-commerce.', 'Big data analytics can predict customer trends, forecast demands, and adjust prices in e-commerce, ultimately leading to improved shopping experiences and higher sales.', 'Big data analytics is used for personalized marketing campaigns, resulting in better and higher sales.', "Big data analytics is utilized in healthcare to predict a patient's health issues based on their medical history.", 'Big data analytics is utilized in banking for risk management and analyzing customer income and spending patterns.', 'Telecom companies use big data analytics to analyze network traffic, call data records, and improve customer experience.', 'Big data analytics is applied in law enforcement to analyze available data and predict crime patterns.']}], 'highlights': ['Spotify uses big data analytics to offer personalized song recommendations to users, enhancing user engagement.', 'The recommendation system, powered by big data analytics, accurately predicts user preferences, leading to longer user engagement.', 'Facebook generates over 500 plus terabytes of data every day, mainly in the form of photographs, videos, and messages, showcasing the massive amount and variety of data generated.', 'Hadoop is a framework that stores and processes big data using distributed storage and parallel processing method, solving the problem of handling big data.', 'Big data is defined as data sets that cannot be handled by traditional computers or tools due to their value, volume, velocity, and veracity, emphasizing the challenges posed by big data.', 'BDO adopted big data analytics to narrow down the entire list of fraud suspects, improving the identification of fraudulent activities.', 'Amazon utilizes big data to monitor items in its fulfillment centers globally, demonstrating the practical application of big data analytics.', 'Big data analytics is defined as the process used to extract meaningful information from big data, uncovering hidden patterns, unknown correlations, and market trends.', 'The advantages of big data analytics include better decision-making and prevention of fraudulent activities.', 'Rolls Royce uses big data analytics for product development of jet engines Rolls Royce uses big data analytics to analyze engine design, improve previous models, and save time in product development.', 'Starbucks uses big data analytics for choosing new outlet locations Starbucks uses big data analytics to thoroughly analyze factors like visibility, accessibility, economic factors, and competition before deciding on new outlet locations.', 'Delta Airlines utilizes big data analytics to improve customer experiences Delta Airlines uses big data analytics to monitor tweets, address negative feedback, and provide upgrades to improve customer experiences and build brand recognition.', 'Big data analytics used to identify fraudster in banking The organization identified the fraudster in a very short time using big data analytics.', 'Predictive analytics utilizes artificial intelligence, machine learning, and data mining to make predictions about the future, analyzing customer trends, market trends, and behavior based on current and historical data.', "Diagnostic analytics example: E-commerce site used diagnostic analytics to understand why customers added items to their carts but didn't make purchases, leading to the identification of root causes for low online sales, such as high shipping fees and technical issues.", 'Descriptive Analytics use case: The Dow Chemical company saved nearly $4 million annually by identifying underutilized space in their facility through descriptive analytics.', 'PayPal uses predictive analytics to analyze past data and customer behavior trends to predict and prevent fraudulent activities, safeguarding its 260 million accounts and maintaining trust in the brand.', 'Prescriptive analytics, utilizing artificial intelligence and machine learning, provides the best solutions for current problems, employing various business rules, algorithms, and computational modeling procedures.', 'Prescriptive analytics adjusts flight fares based on factors like oil prices, customer demand, and destination.', 'Holiday seasons and specific periods significantly impact flight rates, leading to higher fares.', 'Hadoop stores and processes big data in a distributed and parallel fashion, enabling fast data processing.', 'Spark processes data faster than Hadoop MapReduce by utilizing main memory, reducing input-output overheads.', 'Cassandra is used for effective management of large data, offering fault tolerance and automatic data replication.', 'Kafka is a distributed streaming platform used for real-time analytics and fault-tolerant storage.', 'MongoDB is used for dealing with large amounts of unstructured data and processing frequently changing datasets.', 'Nearly 45% of the world is online, creating vast amounts of data every second, enabling better customer trend prediction, demand forecasting, and pricing adjustments in e-commerce.', 'Big data analytics can predict customer trends, forecast demands, and adjust prices in e-commerce, ultimately leading to improved shopping experiences and higher sales.', 'Big data analytics is used for personalized marketing campaigns, resulting in better and higher sales.', "Big data analytics is utilized in healthcare to predict a patient's health issues based on their medical history.", 'Big data analytics is utilized in banking for risk management and analyzing customer income and spending patterns.', 'Telecom companies use big data analytics to analyze network traffic, call data records, and improve customer experience.', 'Big data analytics is applied in law enforcement to analyze available data and predict crime patterns.']}