Ch.04-19: Spark Data Partitioning

Course Lessons

1. 1- Ch.04-01: Introduction to Apache Spark
2. 2- Ch.04-02: Python Vs. Scala
3. 3- Ch.04-03: Introduction to Apache Spark
4. 4- Ch.04-04: About Databricks
5. 5- Ch.04-05: Spark In The Data Platforms
6. 6- Ch.04-06: Running Spark
7. 7- Ch.04-07: Demo: Running Spark on Linux Ubuntu
8. 8- Ch.04-08: Demo: Running Spark on MacOS
9. 9- Ch.04-09: Demo: Running Spark on Windows
10. 10- Ch.04-10: Demo: Running Spark on Databricks
11. 11- Ch.04-11: From Map Reduce To Spark
12. 12- Ch.04-12: Spark Characteristics
13. 13- Ch.04-13: Spark Applications
14. 14- Ch.04-14: Spark Driver
15. 15- Ch.04-15: Spark Session
16. 16- Ch.04-16: Spark Cluster Manager
17. 17- Ch.04-17: Spark Execution Mode
18. 18- Ch.04-18: Spark Executors
19. 19- Ch.04-19: Spark Data Partitioning
20. 20- Ch.04-20: Spark Operations
21. 21- Ch.04-21: Transformations Narrow Vs Wide
22. 22- Ch.04-22: Demo: Immutability In Spark
23. 23- Ch.04-23: Demo: RDD Text Manipulation
24. 24- Ch.04-24: Demo: GroupByKey Vs. ReduceByKey
25. 25- Ch.04-25: Demo: Joining RDDs
26. 26- Ch.04-26: Demo: Spark RDD APIs
27. 27- Ch.04-27: Demo: Repartition Vs. Coalesce