[FreeCoursesOnline.Me] [Packt] Troubleshooting Apache Spark [FCO]
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File Size: 1.06 GB
Creat Time: 2024-07-14
Active Degree: 59
Last Active: 2024-11-17
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File List
- 10. Avoid Wrong Join Strategies Using a Join Type Based on Data Volume.mp4 87.55 MB
- 3. Caching Values In-Memory Persistence.mp4 82.02 MB
- 18. Repeating the Same Code in Stream Pipeline Using Sources and Sinks.mp4 79.25 MB
- 8. Logical Plans Hiding the Truth Examining the Physical Plans.mp4 77.76 MB
- 11. Slow Joins Choosing an Execution Plan for Join.mp4 73.46 MB
- 19. Long Latency of Jobs Understanding Batch Internals.mp4 69.80 MB
- 6. Making Computations Parallel Using Partitions.mp4 67.43 MB
- 12. Distributed Joins Problem DataFrame API.mp4 65.09 MB
- 14. Minimizing Object Creation Reusing Existing Objects.mp4 57.16 MB
- 7. Defining Robust Custom Functions Understanding User-Defined Functions.mp4 53.26 MB
- 4. Unexpected API Behavior Picking the Proper RDD API.mp4 51.52 MB
- 16. Slow Spark Application Start Reducing Setup Overhead.mp4 48.26 MB
- 2. Eager Computations Lazy Evaluation.mp4 47.19 MB
- 13. TypeSafe Joins Problem The Newest DataSet API.mp4 42.40 MB
- 15. Iterating Transformations – The mapPartitions() Method.mp4 41.65 MB
- 17. Performing Unnecessary Recomputation Reusing RDDs.mp4 40.81 MB
- 20. Fault Tolerance Using Data Checkpointing.mp4 39.53 MB
- 1. The Course Overview.mp4 23.69 MB
- 21. Maintaining Batch and Streaming Using Structured Streaming Pros.mp4 16.51 MB
- 5. Wide Dependencies Using Narrow Dependencies.mp4 14.47 MB
- 9. Slow Interpreted Lambdas Code Generation Spark Optimization.mp4 11.56 MB
- 10. Avoid Wrong Join Strategies Using a Join Type Based on Data Volume.vtt 7 KB
- 3. Caching Values In-Memory Persistence.vtt 7 KB
- 18. Repeating the Same Code in Stream Pipeline Using Sources and Sinks.vtt 6 KB
- 8. Logical Plans Hiding the Truth Examining the Physical Plans.vtt 6 KB
- 6. Making Computations Parallel Using Partitions.vtt 6 KB
- 11. Slow Joins Choosing an Execution Plan for Join.vtt 5 KB
- 12. Distributed Joins Problem DataFrame API.vtt 5 KB
- 19. Long Latency of Jobs Understanding Batch Internals.vtt 5 KB
- 2. Eager Computations Lazy Evaluation.vtt 5 KB
- 5. Wide Dependencies Using Narrow Dependencies.vtt 5 KB
- 14. Minimizing Object Creation Reusing Existing Objects.vtt 5 KB
- 16. Slow Spark Application Start Reducing Setup Overhead.vtt 4 KB
- 7. Defining Robust Custom Functions Understanding User-Defined Functions.vtt 4 KB
- 9. Slow Interpreted Lambdas Code Generation Spark Optimization.vtt 4 KB
- 17. Performing Unnecessary Recomputation Reusing RDDs.vtt 4 KB
- 4. Unexpected API Behavior Picking the Proper RDD API.vtt 4 KB
- 15. Iterating Transformations – The mapPartitions() Method.vtt 4 KB
- 21. Maintaining Batch and Streaming Using Structured Streaming Pros.vtt 3 KB
- 13. TypeSafe Joins Problem The Newest DataSet API.vtt 3 KB
- 20. Fault Tolerance Using Data Checkpointing.vtt 3 KB
- 1. The Course Overview.vtt 3 KB
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