[FreeCoursesOnline.Me] [Packt] Troubleshooting Apache Spark [FCO] -移花宫-武林禁地，闲人禁止入内

[FreeCoursesOnline.Me] [Packt] Troubleshooting Apache Spark [FCO]

磁力链接/BT种子名称

[FreeCoursesOnline.Me] [Packt] Troubleshooting Apache Spark [FCO]

磁力链接/BT种子简介

种子哈希：fb8212715653d4732ef1cf05a176253de1fc7b58
文件大小： 1.04G
已经下载：1918次
下载速度：极快
收录时间：2021-03-20
最近下载：2025-08-23

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文件列表

10. Avoid Wrong Join Strategies Using a Join Type Based on Data Volume.mp4 89.7 MB
3. Caching Values In-Memory Persistence.mp4 84.0 MB
18. Repeating the Same Code in Stream Pipeline Using Sources and Sinks.mp4 81.2 MB
8. Logical Plans Hiding the Truth Examining the Physical Plans.mp4 79.6 MB
11. Slow Joins Choosing an Execution Plan for Join.mp4 75.2 MB
19. Long Latency of Jobs Understanding Batch Internals.mp4 71.5 MB
6. Making Computations Parallel Using Partitions.mp4 69.0 MB
12. Distributed Joins Problem DataFrame API.mp4 66.7 MB
14. Minimizing Object Creation Reusing Existing Objects.mp4 58.5 MB
7. Defining Robust Custom Functions Understanding User-Defined Functions.mp4 54.5 MB
4. Unexpected API Behavior Picking the Proper RDD API.mp4 52.8 MB
16. Slow Spark Application Start Reducing Setup Overhead.mp4 49.4 MB
2. Eager Computations Lazy Evaluation.mp4 48.3 MB
13. TypeSafe Joins Problem The Newest DataSet API.mp4 43.4 MB
15. Iterating Transformations – The mapPartitions() Method.mp4 42.6 MB
17. Performing Unnecessary Recomputation Reusing RDDs.mp4 41.8 MB
20. Fault Tolerance Using Data Checkpointing.mp4 40.5 MB
1. The Course Overview.mp4 24.3 MB
21. Maintaining Batch and Streaming Using Structured Streaming Pros.mp4 16.9 MB
5. Wide Dependencies Using Narrow Dependencies.mp4 14.8 MB
9. Slow Interpreted Lambdas Code Generation Spark Optimization.mp4 11.8 MB
10. Avoid Wrong Join Strategies Using a Join Type Based on Data Volume.vtt 7.9 kB
3. Caching Values In-Memory Persistence.vtt 7.2 kB
18. Repeating the Same Code in Stream Pipeline Using Sources and Sinks.vtt 6.9 kB
8. Logical Plans Hiding the Truth Examining the Physical Plans.vtt 6.4 kB
6. Making Computations Parallel Using Partitions.vtt 6.2 kB
11. Slow Joins Choosing an Execution Plan for Join.vtt 5.8 kB
12. Distributed Joins Problem DataFrame API.vtt 5.6 kB
19. Long Latency of Jobs Understanding Batch Internals.vtt 5.6 kB
2. Eager Computations Lazy Evaluation.vtt 5.5 kB
5. Wide Dependencies Using Narrow Dependencies.vtt 5.2 kB
14. Minimizing Object Creation Reusing Existing Objects.vtt 5.1 kB
16. Slow Spark Application Start Reducing Setup Overhead.vtt 4.8 kB
7. Defining Robust Custom Functions Understanding User-Defined Functions.vtt 4.7 kB
9. Slow Interpreted Lambdas Code Generation Spark Optimization.vtt 4.5 kB
17. Performing Unnecessary Recomputation Reusing RDDs.vtt 4.5 kB
4. Unexpected API Behavior Picking the Proper RDD API.vtt 4.4 kB
15. Iterating Transformations – The mapPartitions() Method.vtt 4.3 kB
21. Maintaining Batch and Streaming Using Structured Streaming Pros.vtt 4.0 kB
13. TypeSafe Joins Problem The Newest DataSet API.vtt 3.9 kB
20. Fault Tolerance Using Data Checkpointing.vtt 3.8 kB
1. The Course Overview.vtt 3.3 kB
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