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Apache Spark Certification Training

文件类型 收录时间 最后活跃 资源热度 文件大小 文件数量
视频 2024-4-23 12:30 2024-12-26 00:43 118 3.96 GB 99
磁力链接
magnet:?xt=urn:btih:657b94d5f6194af9482bad52014db5cca233b3a9
迅雷链接
thunder://QUFtYWduZXQ6P3h0PXVybjpidGloOjY1N2I5NGQ1ZjYxOTRhZjk0ODJiYWQ1MjAxNGRiNWNjYTIzM2IzYTlaWg==
二维码链接
Apache Spark Certification Training的二维码
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相关链接

Apache Spark Certification Training

文件列表
  1. 86. Hands-on Session_ Cross-Cluster Communication.mp4182.93MB
  2. 02. Certification Exam Overview.mp427.75MB
  3. 03. Signing up for Databricks Community Edition.mp47.33MB
  4. 04. Loading Data Into Databricks.mp412MB
  5. 05. Overview of the Spark Cluster Architecture and its Components.mp449.41MB
  6. 06. Getting to Know the Spark Driver.mp448.75MB
  7. 07. Getting to Know Executors.mp445.25MB
  8. 08. Discovering Execution Modes.mp495.83MB
  9. 09. Overview.mp434.11MB
  10. 10. Internal Types, DataFrames, Datasets, RDDs, and the Spark SQL API.mp492.98MB
  11. 11. Hands-on Session_ Exploring Data APIs on Databricks Community Edition.mp439.94MB
  12. 12. Intro to Labs.mp430.43MB
  13. 13. Intro & Creating DataFrames.mp428.9MB
  14. 14. Exercise_ Creating a DataFrame.mp49.21MB
  15. 15. Exercise_ Creating a DataFrame - Solution.mp47.16MB
  16. 16. Working with Schemas.mp4131.99MB
  17. 17. Exercise_ Building a Simple Schema.mp410.87MB
  18. 18. Exercise_ Building a Simple Schema - Solution.mp422.86MB
  19. 19. Exercise_ Building a Complex Schema.mp410.54MB
  20. 20. Exercise_ Building a Complex Schema - Solution.mp426.32MB
  21. 21. Type Conversion of DataFrame Columns.mp430.87MB
  22. 22. Exercise_ Changing the Type of a Column.mp48.91MB
  23. 23. Exercise_ Changing the Type of a Column - Solution.mp420.9MB
  24. 24. Overview.mp457.34MB
  25. 25. Shuffles.mp451.81MB
  26. 26. Data Skew.mp459.51MB
  27. 27. Spark Configurations for Partitions.mp418.2MB
  28. 28. Hands-on Session_ The Power of Partitions.mp4147.81MB
  29. 29. Storage Layout.mp482.07MB
  30. 30. Caching and Storage Levels.mp445.49MB
  31. 31. Memory in Action.mp4168.94MB
  32. 32. Hands-on Session_ Executor Memory Management - Part 1.mp442.42MB
  33. 33. Hands-on Session_ Executor Memory Management - Part 2.mp440.97MB
  34. 34. Intro & How to Get Help in PySpark.mp410.19MB
  35. 35. Partitioning Recap.mp417.9MB
  36. 36. Exercise_ Repartitioning.mp43.66MB
  37. 37. Exercise_ Repartitioning - Solution.mp411.04MB
  38. 38. Caching Recap.mp47.57MB
  39. 39. Exercise_ Caching.mp42.33MB
  40. 40. Exercise_ Caching - Solution.mp46.54MB
  41. 41. Overview.mp446.6MB
  42. 42. Hands-On Session_ Actions vs. Transformations.mp435.94MB
  43. 43. Intro & Reading Data.mp4102.85MB
  44. 44. Exercise_ Reading Parquet Files.mp412.38MB
  45. 45. Exercise_ Reading Parquet Files - Solution.mp421.03MB
  46. 46. Reading from CSV Files.mp491.53MB
  47. 47. Exercise_ Reading CSV Files.mp417.02MB
  48. 48. Exercise_ Reading CSV Files - Solution.mp421.16MB
  49. 49. Reading from JSON Files.mp428.4MB
  50. 50. Writing Data.mp451.89MB
  51. 51. Exercise_ Writing to Parquet Files.mp411.69MB
  52. 52. Exercise_ Writing to Parquet Files - Solution.mp423MB
  53. 53. Writing to CSV Files.mp412.55MB
  54. 54. Exercise_ Writing to CSV Files.mp411.12MB
  55. 55. Exercise_ Writing to CSV Files - Solution.mp419.97MB
  56. 56. Writing to JSON Files.mp48.79MB
  57. 57. Using PySpark with SQL.mp424.24MB
  58. 58. Exercise_ SQL in PySpark.mp44.24MB
  59. 59. Exercise_ SQL in PySpark - Solution.mp49.45MB
  60. 60. Overview.mp474.63MB
  61. 61. Hands-on Session_ Discovering the Spark UI.mp472.59MB
  62. 62. Intro & Removing Data.mp474.72MB
  63. 63. Exercise_ Removing Data.mp45.61MB
  64. 64. Exercise_ Removing Data - Solution.mp45.98MB
  65. 65. Modifying Data.mp4121.91MB
  66. 66. Exercise_ Modifying Data.mp49.91MB
  67. 67. Exercise_ Modifying Data - Solution.mp414.45MB
  68. 68. Analyzing Data.mp478.1MB
  69. 69. Exercise_ Analyzing Data.mp45.09MB
  70. 70. Exercise_ Analyzing Data - Solution.mp416.62MB
  71. 71. The Catalyst Optimizer.mp486.17MB
  72. 72. Adaptive Query Execution.mp473.64MB
  73. 73. Dynamic Partition Pruning.mp441.44MB
  74. 74. The DAG_ Achieving Fault Tolerance.mp462.61MB
  75. 75. Intro & Working With Dates and Times.mp4163.98MB
  76. 76. Exercise_ Working With Dates and Times.mp46.38MB
  77. 77. Exercise_ Working With Dates and Times - Solution.mp416.36MB
  78. 78. Working With Strings.mp426.53MB
  79. 79. Exercise_ Working With Strings.mp413.02MB
  80. 80. Exercise_ Working With Strings - Solution.mp416.33MB
  81. 81. Working with Arrays.mp426.53MB
  82. 82. Exercise_ Working With Arrays.mp411.41MB
  83. 83. Exercise_ Working With Arrays - Solution.mp432.46MB
  84. 84. Accumulator and Broadcast Variables.mp461.84MB
  85. 85. Joins.mp4133.4MB
  86. 01. Introduction.mp460.79MB
  87. 87. Intro & Grouping and Aggregating.mp492.91MB
  88. 88. Exercise_ Grouping and Aggregating.mp45.77MB
  89. 89. Exercise_ Grouping and Aggregating - Solution.mp418.47MB
  90. 90. Joining.mp470.93MB
  91. 91. Exercise_ Joining.mp48.17MB
  92. 92. Exercise_ Joining - Solution.mp421.74MB
  93. 93. User-Defined Functions (UDFs).mp496.04MB
  94. 94. Exercise_ UDFs.mp432.84MB
  95. 95. Exercise_ UDFs - Solution.mp433.66MB
  96. 96. Signing up for the Exam.mp411.32MB
  97. 97. Last Minute Preparations.mp49.14MB
  98. 98. Introduction.mp434.84MB
  99. 99. Congratulations!.mp42.9MB
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