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10. Avoid Wrong Join Strategies Using a Join Type Based on Data Volume.mp4 |
3. Caching Values In-Memory Persistence.mp4 |
18. Repeating the Same Code in Stream Pipeline Using Sources and Sinks.mp4 |
8. Logical Plans Hiding the Truth Examining the Physical Plans.mp4 |
11. Slow Joins Choosing an Execution Plan for Join.mp4 |
19. Long Latency of Jobs Understanding Batch Internals.mp4 |
6. Making Computations Parallel Using Partitions.mp4 |
12. Distributed Joins Problem DataFrame API.mp4 |
14. Minimizing Object Creation Reusing Existing Objects.mp4 |
7. Defining Robust Custom Functions Understanding User-Defined Functions.mp4 |
4. Unexpected API Behavior Picking the Proper RDD API.mp4 |
16. Slow Spark Application Start Reducing Setup Overhead.mp4 |
2. Eager Computations Lazy Evaluation.mp4 |
13. TypeSafe Joins Problem The Newest DataSet API.mp4 |
15. Iterating Transformations – The mapPartitions() Method.mp4 |
17. Performing Unnecessary Recomputation Reusing RDDs.mp4 |
20. Fault Tolerance Using Data Checkpointing.mp4 |
1. The Course Overview.mp4 |
21. Maintaining Batch and Streaming Using Structured Streaming Pros.mp4 |
5. Wide Dependencies Using Narrow Dependencies.mp4 |
9. Slow Interpreted Lambdas Code Generation Spark Optimization.mp4 |
10. Avoid Wrong Join Strategies Using a Join Type Based on Data Volume.vtt |
3. Caching Values In-Memory Persistence.vtt |
18. Repeating the Same Code in Stream Pipeline Using Sources and Sinks.vtt |
8. Logical Plans Hiding the Truth Examining the Physical Plans.vtt |
6. Making Computations Parallel Using Partitions.vtt |
11. Slow Joins Choosing an Execution Plan for Join.vtt |
12. Distributed Joins Problem DataFrame API.vtt |
19. Long Latency of Jobs Understanding Batch Internals.vtt |
2. Eager Computations Lazy Evaluation.vtt |
5. Wide Dependencies Using Narrow Dependencies.vtt |
14. Minimizing Object Creation Reusing Existing Objects.vtt |
16. Slow Spark Application Start Reducing Setup Overhead.vtt |
7. Defining Robust Custom Functions Understanding User-Defined Functions.vtt |
9. Slow Interpreted Lambdas Code Generation Spark Optimization.vtt |
17. Performing Unnecessary Recomputation Reusing RDDs.vtt |
4. Unexpected API Behavior Picking the Proper RDD API.vtt |
15. Iterating Transformations – The mapPartitions() Method.vtt |
21. Maintaining Batch and Streaming Using Structured Streaming Pros.vtt |
13. TypeSafe Joins Problem The Newest DataSet API.vtt |
20. Fault Tolerance Using Data Checkpointing.vtt |
1. The Course Overview.vtt |
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