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[] [Packt] Apache Spark Tips, Tricks, & Techniques [FCO]

  • 收录时间:2019-11-22 05:53:12
  • 文件大小:2GB
  • 下载次数:65
  • 最近下载:2021-01-21 05:09:53
  • 磁力链接:

文件列表

  1. 7. Delve into Spark RDDs ParentChild Chain.mp4 66MB
  2. 5. Performing Actions That Trigger Computations.mp4 65MB
  3. 33. Using Vertex API.mp4 64MB
  4. 23. Using aggregateByKey Instead of groupBy.mp4 62MB
  5. 4. Using reduce and reduceByKey to Calculate Results.mp4 60MB
  6. 25. Available Partitioners on KeyValue Data.mp4 55MB
  7. 26. Implementing Custom Partitioner.mp4 52MB
  8. 10. Immutability in the Highly Concurrent Environment.mp4 50MB
  9. 17. Saving Data in Plain Text.mp4 49MB
  10. 29. Mocking Data Sources Using Partial Functions.mp4 48MB
  11. 30. Using ScalaCheck for Property-Based Testing.mp4 47MB
  12. 36. Calculate Page Rank.mp4 47MB
  13. 12. Detecting a Shuffle in a Processing.mp4 45MB
  14. 22. Available Transformations on KeyValue Pairs.mp4 44MB
  15. 35. Calculate Degree of Vertex.mp4 44MB
  16. 13. Testing Operations That Cause Shuffle in Apache Spark.mp4 44MB
  17. 6. Reusing the Same RDD for Different Actions.mp4 43MB
  18. 2. Using Spark Transformations to Defer Computations to a Later Time.mp4 43MB
  19. 18. Leveraging JSON as a Data Format.mp4 42MB
  20. 28. Integration Testing Using SparkSession.mp4 42MB
  21. 20. Using Avro with Spark.mp4 42MB
  22. 19. Tabular Formats – CSV.mp4 41MB
  23. 3. Avoiding Transformations.mp4 40MB
  24. 34. Using Edge API.mp4 39MB
  25. 15. Using keyBy() Operations to Reduce Shuffle.mp4 38MB
  26. 24. Actions on KeyValue Pairs.mp4 38MB
  27. 27. Separating Logic from Spark Engine – Unit Testing.mp4 37MB
  28. 31. Testing in Different Versions of Spark.mp4 34MB
  29. 16. Using Custom Partitioner to Reduce Shuffle.mp4 34MB
  30. 14. Changing Design of Jobs with Wide Dependencies.mp4 33MB
  31. 32. Creating Graph from Datasource.mp4 31MB
  32. 9. Using DataFrame Operations to Transform It.mp4 30MB
  33. 8. Using RDD in an Immutable Way.mp4 28MB
  34. 21. Columnar Formats – Parquet.mp4 27MB
  35. 11. Using Dataset API in an Immutable Way.mp4 19MB
  36. 1. The Course Overview.mp4 15MB
  37. 7. Delve into Spark RDDs ParentChild Chain.vtt 6KB
  38. 17. Saving Data in Plain Text.vtt 5KB
  39. 5. Performing Actions That Trigger Computations.vtt 5KB
  40. 4. Using reduce and reduceByKey to Calculate Results.vtt 5KB
  41. 26. Implementing Custom Partitioner.vtt 5KB
  42. 23. Using aggregateByKey Instead of groupBy.vtt 5KB
  43. 12. Detecting a Shuffle in a Processing.vtt 5KB
  44. 2. Using Spark Transformations to Defer Computations to a Later Time.vtt 5KB
  45. 13. Testing Operations That Cause Shuffle in Apache Spark.vtt 5KB
  46. 10. Immutability in the Highly Concurrent Environment.vtt 5KB
  47. 20. Using Avro with Spark.vtt 5KB
  48. 33. Using Vertex API.vtt 4KB
  49. 18. Leveraging JSON as a Data Format.vtt 4KB
  50. 36. Calculate Page Rank.vtt 4KB
  51. 25. Available Partitioners on KeyValue Data.vtt 4KB
  52. 22. Available Transformations on KeyValue Pairs.vtt 4KB
  53. 29. Mocking Data Sources Using Partial Functions.vtt 4KB
  54. 27. Separating Logic from Spark Engine – Unit Testing.vtt 4KB
  55. 21. Columnar Formats – Parquet.vtt 4KB
  56. 3. Avoiding Transformations.vtt 4KB
  57. 16. Using Custom Partitioner to Reduce Shuffle.vtt 4KB
  58. 30. Using ScalaCheck for Property-Based Testing.vtt 4KB
  59. 15. Using keyBy() Operations to Reduce Shuffle.vtt 4KB
  60. 35. Calculate Degree of Vertex.vtt 4KB
  61. 6. Reusing the Same RDD for Different Actions.vtt 4KB
  62. 31. Testing in Different Versions of Spark.vtt 4KB
  63. 28. Integration Testing Using SparkSession.vtt 4KB
  64. 19. Tabular Formats – CSV.vtt 4KB
  65. 9. Using DataFrame Operations to Transform It.vtt 3KB
  66. 32. Creating Graph from Datasource.vtt 3KB
  67. 8. Using RDD in an Immutable Way.vtt 3KB
  68. 14. Changing Design of Jobs with Wide Dependencies.vtt 3KB
  69. 24. Actions on KeyValue Pairs.vtt 3KB
  70. 34. Using Edge API.vtt 3KB
  71. 11. Using Dataset API in an Immutable Way.vtt 3KB
  72. 1. The Course Overview.vtt 2KB
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