1. Урок 1.00:11:32
    Welcome
  2. Урок 2.00:02:33
    How to Make the Best out of This Course
  3. Урок 3.00:25:06
    Scala Recap
  4. Урок 4.00:09:07
    Spark First Principles
  5. Урок 5.00:23:10
    DataFrames Basics
  6. Урок 6.00:08:17
    DataFrames Basics: Exercises
  7. Урок 7.00:06:23
    How DataFrames Work
  8. Урок 8.00:13:25
    Data Sources
  9. Урок 9.00:27:44
    Data Sources, Part 2 + Exercises
  10. Урок 10.00:24:34
    DataFrame Columns and Expressions
  11. Урок 11.00:17:13
    Columns and Expressions: Exercises
  12. Урок 12.00:28:14
    DataFrame Aggregations
  13. Урок 13.00:20:24
    DataFrame Joins
  14. Урок 14.00:17:28
    Joins: Exercises
  15. Урок 15.00:28:32
    Working with Spark Types
  16. Урок 16.00:21:18
    Advanced Spark Types
  17. Урок 17.00:17:15
    Managing Nulls in Data
  18. Урок 18.00:24:18
    Type-Safe Processing: Datasets
  19. Урок 19.00:15:41
    Datasets, Part 2 + Exercises
  20. Урок 20.00:13:40
    The Spark SQL Shell
  21. Урок 21.00:17:15
    Programmatic Spark SQL
  22. Урок 22.00:19:54
    Spark SQL: Exercises
  23. Урок 23.00:17:06
    RDDs
  24. Урок 24.00:26:49
    RDDs, Part 2 + Exercises
  25. Урок 25.00:32:20
    How Spark Runs on a Cluster
  26. Урок 26.00:23:11
    Deploying Spark Applications on a Cluster
  27. Урок 27.00:14:08
    A Big Data Problem
  28. Урок 28.00:27:49
    Investigative Data Analysis on Big Data
  29. Урок 29.00:35:39
    Investigative Data Analysis on Big Data, Part 2
  30. Урок 30.00:20:21
    Gathering Answers and Running our Solution on Amazon EMR
  31. Урок 31.00:00:31
    You ROCK!