Architecting Big Data Solutions - Use Cases and Scenarios

Kumaran Ponnambalam, Dedicated to Data Science Education

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37 Lessons (5h 21m)
    • 1. Intro to ABDS

      4:26
    • 2. Traditional Data Solutions

      11:34
    • 3. Big Data Solutions

      7:57
    • 4. Current Big Data Trends

      8:33
    • 5. Intro to Big Data Solutions

      11:53
    • 6. Architecture template

      6:22
    • 7. Intro to Technology options

      5:32
    • 8. Challenges with Big Data Technologies

      8:55
    • 9. Acquire overview

      9:42
    • 10. Acquire options SQL and Files

      8:23
    • 11. Acquire Options REST and Streaming

      8:28
    • 12. Transport Overview

      9:55
    • 13. Transport Options SFTP and Sqoop

      11:44
    • 14. Transport Options Flume and Kafka

      10:01
    • 15. Persistence Overview

      9:58
    • 16. Persist Options RDBMS and HDFS

      11:36
    • 17. Persist Options Cassandra and MongoDB

      11:48
    • 18. Persist Options Neo4j and ElasticSearch

      8:53
    • 19. Transformation module

      10:39
    • 20. Transform Options MapReduce and SQL

      11:12
    • 21. Transform Options Spark and ETL Products

      11:42
    • 22. Reporting module

      8:58
    • 23. Reporting Options Impala and Spark SQL

      7:17
    • 24. Reporting Options Third Party and Elastic

      5:53
    • 25. Advanced Analytics Overview

      10:01
    • 26. Advanced Analytics Options R and Python

      7:27
    • 27. Advanced Analytics Apache Spark and Commerical Software

      6:33
    • 28. Use Case 1 Enterprise Data Backup

      6:17
    • 29. Use Case 2 Media File Store

      7:36
    • 30. Use Case 3 Social Media Sentiment Analysis

      9:50
    • 31. Use Case 4 Credit Card Fraud Detection

      10:00
    • 32. Use Case 5 Operations Analytics

      11:28
    • 33. Use Case 6 News Articles Recommendations

      7:54
    • 34. Use Case 7 Customer 360

      9:47
    • 35. Use Case 8 IOT Connected Car

      8:05
    • 36. Transitioning to Big Data

      3:23
    • 37. Closing Remarks ADBS

      1:38
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