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!