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Премиум
  1. Урок 1. 00:02:31
    Course Overview
  2. Урок 2. 00:02:35
    Big Data trunk Introduction !!
  3. Урок 3. 00:11:43
    Big Data before Spark
  4. Урок 4. 00:07:31
    Big Data After Spark
  5. Урок 5. 00:04:12
    Introduction to Apache Spark
  6. Урок 6. 00:06:02
    Spark - RDD
  7. Урок 7. 00:06:33
    Lab - Ways for creating RDD
  8. Урок 8. 00:04:53
    Spark Application Architecture
  9. Урок 9. 00:07:19
    Spark Operations - Transformation & Action
  10. Урок 10. 00:07:43
    Lab - Transformation & Action
  11. Урок 11. 00:09:21
    DAG (Direct Acyclic Graph)
  12. Урок 12. 00:06:37
    Spark Databricks Analytics in Azure
  13. Урок 13. 00:05:25
    Why Databricks ?
  14. Урок 14. 00:03:16
    Provisioning Databricks workspace in Azure portal
  15. Урок 15. 00:04:35
    Using Databricks community Edition
  16. Урок 16. 00:03:19
    Use notebook in Databricks
  17. Урок 17. 00:08:02
    Spark SQL
  18. Урок 18. 00:10:29
    Developing Spark application
  19. Урок 19. 00:14:07
    Developing Spark ML application
  20. Урок 20. 00:07:48
    Developing Spark Streaming applications (real time Twitter Data)
  21. Урок 21. 00:10:07
    Optimizing Spark Performance
  22. Урок 22. 00:03:51
    Spark Vs Hadoop / mapReduce
  23. Урок 23. 00:02:00
    Spark Core
  24. Урок 24. 00:05:44
    Something more about RDD
  25. Урок 25. 00:03:17
    Type Safety in Dataset
  26. Урок 26. 00:02:16
    Justify Lazy Evaluation in Spark
  27. Урок 27. 00:05:45
    Explain Fault Tolerance in Spark
  28. Урок 28. 00:02:58
    Coalesce and Repartition
  29. Урок 29. 00:01:07
    Spark Executor Memory
  30. Урок 30. 00:06:34
    Garbage Collection Optimization in Spark
  31. Урок 31. 00:00:42
    Thanks You looking way forward !!