Big Data Analytics | What Is Big Data Analytics? | Big Data Analytics For Beginners | Simplilearn
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The document provides a comprehensive overview of big data analytics, detailing its importance, various types, and applications across different industries. It explains the lifecycle of big data analytics, including data identification, filtering, extraction, analysis, and visualization. Additionally, it highlights the tools used for big data processing and the challenges faced in big data management.
Big Data Analytics | What Is Big Data Analytics? | Big Data Analytics For Beginners | Simplilearn
- 2. What’s in it for you? Tools used in big data analytics Lifecycle of big data analytics Why big data analytics? What is big data analytics? 1 2 3 4 5 6 Types of big data analytics Big data application domains
- 3. What’s in it for you? Big Data Challenges What is HDFS? HDFS Cluster Architecture HDFS Data Blocks Data Node Failure Rack Awareness General Architecture of HDFS Read/Write Mechanism Why big data analytics?
- 4. I’m sure most of you would have used a music streaming platform…
- 6. Spotify has nearly 96 million users
- 7. User behavior includes songs played, repeatedly used playlists, likes, shares and search history, all of which represents the big data used by Spotify
- 8. Spotify analyzes this big data for suggesting songs to its users
- 10. Recommendation systems are data filtering tools. They collect data and then filter them using algorithms
- 11. The recommendation systems accurately predict what users would like to listen to next with the help of big data analytics
- 12. Using big data analytics, Spotify keeps its users engaged and by doing so, the users use the application more
- 13. What’s in it for you? Big Data Challenges What is HDFS? HDFS Cluster Architecture HDFS Data Blocks Data Node Failure Rack Awareness General Architecture of HDFS Read/Write Mechanism What is big data analytics?
- 14. Big data Massive amount of data which cannot be stored, processed and analyzed using traditional tools is known as big data What is big data?
- 15. Big data Massive amount of data which cannot be stored, processed and analyzed using traditional tools is known as big data Storing, processing and analyzing big data became difficult using traditional methods Analyzing Storing Processing What is big data?
- 16. Big data analytics is a process to extract meaningful insights from big data such as hidden patterns, unknown correlations, market trends and customer preferences What is big data analytics?
- 17. Big data analytics Big data analytics is used for risk management Big data analytics is a process to extract meaningful insights from big data such as hidden patterns, unknown correlations, market trends and customer preferences What is big data analytics?
- 18. Banco de Oro, a Philippine banking company uses big data analytics What is big data analytics?
- 19. Banco de Oro, a Philippine banking company uses big data analytics Identifying fraudulent activities and discrepancies is easier using big data analytics. Thus the organization was able to narrow down the list of suspects using big data analytics What is big data analytics?
- 20. Big data analytics Big data analytics is used for risk management Big data analytics is used for product development and innovations Big data analytics is a process to extract meaningful insights from big data such as hidden patterns, unknown correlations, market trends and customer preferences What is big data analytics?
- 21. Rolls-Royce manufactures massive jet engines. These engines are used by airlines and armed forces across the world What is big data analytics?
- 22. Rolls-Royce manufactures massive jet engines. These engines are used by airlines and armed forces across the world The company uses big data analytics to analyze how good the engine design is and if there has to be any more improvement Big data analytics is used here in designing a product of higher quality What is big data analytics?
- 23. Big data analytics Big data analytics is used for risk management Big data analytics helps in quicker and better decision making in organizations Big data analytics is used for product development and innovations Big data analytics is a process to extract meaningful insights from big data such as hidden patterns, unknown correlations, market trends and customer preferences What is big data analytics?
- 24. Starbucks uses big data analytics for important decisions. For example, big data analytics is used to decide if a particular location would be suitable for a new outlet or not What is big data analytics?
- 25. The analysis is done based on factors such as population demographics, accessibility of the location, competition in the vicinity, economic factors, parking adequacy and so on The business grows if the right location is chosen wisely by considering the above parameters Starbucks uses big data analytics for important decisions. For example, big data analytics is used to decide if a particular location would be suitable for a new outlet or not What is big data analytics?
- 26. Big data analytics Big data analytics is used for risk management Big data analytics is used for product development and innovations Big data analytics is used to improve customer experience Big data analytics is a process to extract meaningful insights from big data such as hidden patterns, unknown correlations, market trends and customer preferences Big data analytics helps in quicker and better decision making in organizations What is big data analytics?
- 27. Delta airline uses analysis to improve customer experiences What is big data analytics?
- 28. Airline identifies negative tweets and does the needful by upgrading the customer’s ticket for the next journey if it is found out to be the airline’s fault. This helps the airline build good customer relations Delta airline uses analysis to improve customer experiences They monitor tweets to find out their customers’ experience regarding the journey, delays and so on What is big data analytics?
- 29. What’s in it for you? Big Data Challenges What is HDFS? HDFS Cluster Architecture HDFS Data Blocks Data Node Failure Rack Awareness General Architecture of HDFS Read/Write Mechanism Lifecycle of big data analytics
- 30. Business case evaluation Big data analytics lifecycle begins with a business case which defines the reason and goal behind the analysis Lifecycle of big data analytics
- 31. Business case evaluation Identification of data A broad variety of data sources are identified Lifecycle of big data analytics
- 32. Business case evaluation Identification of data Data filtering All the identified data from the previous stage is filtered here to remove the corrupt data Lifecycle of big data analytics
- 33. Business case evaluation Identification of data Data filtering Data extraction The data that is not compatible with the tool is extracted and then transformed to a form that is compatible Lifecycle of big data analytics
- 34. Business case evaluation Identification of data Data filtering Data extraction Data aggregation In the data aggregation stage, data with the same fields across different datasets are integrated Lifecycle of big data analytics
- 35. Business case evaluation Identification of data Data filtering Data extraction Data aggregation Data analysis This is the process of evaluating data using analytical and statistical tools to discover useful information Lifecycle of big data analytics
- 36. Business case evaluation Identification of data Data filtering Data extraction Data aggregation Data analysis Visualization of data Visualization of data is done by graphically communicating the analysis results. Tools like Tableau, PowerBI and QlikView are used Lifecycle of big data analytics
- 37. Business case evaluation Identification of data Data filtering Data extraction Data aggregation Data analysis Visualization of data Final analysis result Final analysis result is made available to business stakeholders for decision making Lifecycle of big data analytics
- 38. What’s in it for you? Big Data Challenges What is HDFS? HDFS Cluster Architecture HDFS Data Blocks Data Node Failure Rack Awareness General Architecture of HDFS Read/Write Mechanism Types of big data analytics
- 39. Big data analytics Descriptive analytics Diagnostic analytics Predictive analytics Prescriptive analytics What has happened? Why did it happen? What will happen? What is the solution? Types of big data analytics
- 40. Big data analytics Descriptive analytics Diagnostic analytics Predictive analytics Prescriptive analytics What has happened? Why did it happen? What will happen? What is the solution? Types of big data analytics
- 41. Descriptive analytics It summarizes past data into a form that is interpretable by humans Descriptive analytics What has happened?Q1 Types of big data analytics
- 42. Descriptive analytics It summarizes past data into a form that is interpretable by humans Descriptive analytics What has happened?Q1 0 10000 20000 30000 40000 50000 60000 70000 80000 2015 2016 2017 2018 A company’s profit graph Revenue nill Profit Types of big data analytics
- 43. Descriptive analytics It summarizes past data into a form that is interpretable by humans Descriptive analytics What has happened?Q1 0 10000 20000 30000 40000 50000 60000 70000 80000 2015 2016 2017 2018 A company’s profit graph Revenue nill Profit This analytics helps in creating reports like company’s revenue, profit, sales and so on Tabulation of social media metrics like Facebook likes and tweets are done using descriptive analytics Types of big data analytics
- 44. Descriptive analytics The Dow Chemical Company analyzed its past data to increase facility utilization across its office and lab space Descriptive analytics Using descriptive analytics, Dow was able to identify under-utilized space. This space consolidation helped the company save nearly USD 4 million annually It summarizes past data into a form that is interpretable by humansWhat has happened?Q1 Types of big data analytics
- 45. Big data analytics Descriptive analytics Diagnostic analytics Predictive analytics Prescriptive analytics What has happened? Why did it happen? What will happen? What is the solution? Types of big data analytics
- 46. Descriptive analytics Descriptive analyticsDiagnostic analytics This analysis is done to understand why a problem has occurred. It looks into the cause of a problem Types of big data analytics
- 47. Descriptive analytics Descriptive analyticsDiagnostic analytics This analysis is done to understand why a problem has occurred. It looks into the cause of a problem Why did it happen?Q2 Types of big data analytics
- 48. Descriptive analytics Descriptive analyticsDiagnostic analytics This analysis is done to understand why a problem has occurred. It looks into the cause of a problem This analytics is characterized by techniques such as drill-down, data mining and data discovery Why did it happen?Q2 Types of big data analytics
- 49. Descriptive analytics Descriptive analyticsDiagnostic analytics This analysis is done to understand why a problem has occurred. It looks into the cause of a problem Organizations go for diagnostic analytics as it gives an in-depth insight into a particular problem This analytics is characterized by techniques such as drill-down, data mining and data discovery Why did it happen?Q2 Types of big data analytics
- 50. Descriptive analytics Descriptive analyticsDiagnostic analytics This analysis is done to understand why a problem has occurred. It looks into the cause of a problem Organizations go for diagnostic analytics as it gives an in-depth insight into a particular problem This analytics is characterized by techniques such as drill-down, data mining and data discovery Query tool is one of the tools used for diagnostic analysis. InetSoft's BI query tool is an example Why did it happen?Q2 Types of big data analytics
- 51. Descriptive analytics Diagnostic analytics An ecommerce company’s report shows that their sales have reduced although customers are adding products to the cart Types of big data analytics
- 52. Descriptive analytics Diagnostic analytics An ecommerce company’s report shows that their sales have reduced although customers are adding products to the cart Why did we make fewer online sales although we had good marketing? Types of big data analytics
- 53. Descriptive analytics Diagnostic analytics An ecommerce company’s report shows that their sales have reduced although customers are adding products to the cart Why did we make fewer online sales although we had good marketing? A lot of things could have gone wrong : • The form didn’t load correctly • The shipping fee was too high • Not enough payment options available Types of big data analytics
- 54. Descriptive analytics Diagnostic analytics An ecommerce company’s report shows that their sales have reduced although customers are adding products to the cart Why did we make fewer online sales although we had good marketing? A lot of things could have gone wrong : • The form didn’t load correctly • The shipping fee was too high • Not enough payment options available Using diagnostic analytics, we can find out the reason why this happened Types of big data analytics
- 55. Big data analytics Descriptive analytics Diagnostic analytics Predictive analytics Prescriptive analytics What has happened? Why did it happen? What will happen? What is the solution? Types of big data analytics
- 56. Descriptive analytics Descriptive analyticsPredictive analytics Looks into the historical and present data to make predictions of the futureWhat will happen?Q3 Types of big data analytics
- 57. Descriptive analytics Descriptive analyticsPredictive analytics This type of analytics uses data mining, artificial intelligence and machine learning to analyze current data to make predictions about future Looks into the historical and present data to make predictions of the futureWhat will happen?Q3 Types of big data analytics
- 58. Descriptive analytics Descriptive analyticsPredictive analytics It works on predicting the customer trends, market trends and so on. This analysis works on probability This type of analytics uses data mining, artificial intelligence and machine learning to analyze current data to make predictions about future Looks into the historical and present data to make predictions of the futureWhat will happen?Q3 Types of big data analytics
- 59. Descriptive analyticsPredictive analytics Using predictive analytics, the company uses all the historical payment data, the user behavior data and builds an algorithm which predicts fraudulent activities Paypal determines what kind of precautions they have to take to protect their clients against fraudulent transactions Looks into the historical and present data to make predictions of the futureWhat will happen?Q3 Types of big data analytics
- 60. Big data analytics Descriptive analytics Diagnostic analytics Predictive analytics Prescriptive analytics What has happened? Why did it happen? What will happen? What is the solution? Types of big data analytics
- 61. Descriptive analyticsPrescriptive analytics This type of analytics prescribes the solution to a particular problemWhat is the solution?Q4 Types of big data analytics
- 62. Descriptive analytics Descriptive analyticsPrescriptive analytics Prescriptive analytics works with both descriptive and predictive analytics This type of analytics prescribes the solution to a particular problemWhat is the solution?Q4 Types of big data analytics
- 63. Descriptive analytics Descriptive analyticsPrescriptive analytics Prescriptive analytics works with both descriptive and predictive analytics Most of the times prescriptive analytics relies on artificial intelligence and machine learning This type of analytics prescribes the solution to a particular problemWhat is the solution?Q4 Types of big data analytics
- 64. Descriptive analytics Descriptive analyticsPrescriptive analytics Business rules, algorithms, computational modelling procedures are used in prescriptive analytics Prescriptive analytics works with both descriptive and predictive analytics Most of the times prescriptive analytics relies on artificial intelligence and machine learning This type of analytics prescribes the solution to a particular problemWhat is the solution?Q4 Types of big data analytics
- 65. Descriptive analyticsPrescriptive analytics This type of analytics prescribes the solution to a particular problemWhat is the solution?Q4 Types of big data analytics
- 66. Descriptive analyticsPrescriptive analytics Prescriptive analytics can be used to maximize an airline’s profit This type of analytics prescribes the solution to a particular problemWhat is the solution?Q4 Types of big data analytics
- 67. Descriptive analyticsPrescriptive analytics This analytics is used to build an algorithm that will automatically adjust the flight fares based on numerous factors, including customer demand, weather, destination, holiday seasons and oil prices Prescriptive analytics can be used to maximize an airline’s profit This type of analytics prescribes the solution to a particular problemWhat is the solution?Q4 Types of big data analytics
- 68. What’s in it for you? Big Data Challenges What is HDFS? HDFS Cluster Architecture HDFS Data Blocks Data Node Failure Rack Awareness General Architecture of HDFS Read/Write Mechanism Tools used in big data analytics
- 69. Tools used in big data analytics
- 70. Hadoop helps in storing and analyzing big data Tools used in big data analytics
- 71. MongoDB is used on datasets that change frequently Tools used in big data analytics
- 72. Talend is a tool used for data integration and management Tools used in big data analytics
- 73. It is a distributed database that is used for handling chunks of data Tools used in big data analytics
- 74. It is used for real time processing and analyzing large amount of data Tools used in big data analytics
- 75. It is an open source real time computational system Tools used in big data analytics
- 76. It is a distributed streaming platform that is used for fault tolerant storage Tools used in big data analytics
- 77. What’s in it for you? Big Data Challenges What is HDFS? HDFS Cluster Architecture HDFS Data Blocks Data Node Failure Rack Awareness General Architecture of HDFS Read/Write Mechanism Big data application domains
- 78. Ecommerce Predicting customer trends, optimizing price are few of the ways e- commerce uses big data analytics Big data application domains
- 79. Marketing Ecommerce Big data analytics helps in driving high ROI marketing campaigns which result in better sales Big data application domains
- 80. Education Marketing Ecommerce New courses are developed based on the market requirement using big data analytics Big data application domains
- 81. Education Marketing Ecommerce Healthcare With the help of a patient’s medical history, big data analytics is used to predict how likely they are to have health issues Big data application domains
- 82. Education Marketing Ecommerce Media and entertainment Healthcare Big data analytics is used to understand the demand of shows, movies, songs and so on to deliver a personalized recommendation list to its users Big data application domains
- 83. Education Marketing Ecommerce Media and entertainment Banking Healthcare Customer income and spend patterns help in predicting the customer likelihood for choosing various banking offers like loans, credit card schemes and so on Big data application domains
- 84. Education Marketing Ecommerce Media and entertainment Banking Telecommunications Healthcare Big data analytics is used to forecast network capacity and improve customer experience in the field of telecommunication Big data application domains
- 85. Education Marketing Ecommerce Media and entertainment Banking Telecommunications Healthcare Big data analytics is used to forecast network capacity and improve customer experience in the field of telecommunication Big data application domains
- 86. Education Marketing Ecommerce Media and entertainment Banking Telecommunications Healthcare Government Big data application domains
- 87. Education Marketing Ecommerce Media and entertainment Banking Telecommunications Healthcare Government Big data analytics helps governments in law enforcement Big data application domains
- 88. Education Marketing Ecommerce Media and entertainment Banking Telecommunications Healthcare Government Big data analytics helps governments in law enforcement In Durham, the police department was able to reduce the crime rate using big data analytics Big data application domains
- 89. Key Takeaways
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