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Why Learn Spark?

Topic 1 of 22 in PySpark

Previous topic: Realtime Project Flow Next topic: Data Filters
Language తెలుగు (Telugu)Englishहिन्दी (Hindi)தமிழ் (Tamil)
  1. Content, freeWhy Spark
  2. Content, freeEffort
  3. Content, freeRoadMap
  4. Content, freeWhere to run
  5. AssignmentsPractice
  6. Interview questions, freeQuiz

Part 5 of 6: Assignments, practice

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Topics in PySpark

  1. Why Learn Spark?
  2. Data Filters
  3. Realtime ETL Project
  4. With Spark & Without Spark
  5. Spark Architecture
  6. The problems of processing data on many machines
  7. Inside one EC2 machine
  8. Why 128 MB partitions in Spark?
  9. Number of EC2 Machines Calculator
  10. Predicate pushdown, column pruning, partition pruning: read less from S3
  11. Narrow vs Wide transformations in Spark
  12. Transformations vs Actions in Spark
  13. Broadcast join vs Sort-merge join
  14. Handling data skew in Spark
  15. How many output files does Spark write
  16. From code to tasks: DAG, DAG Scheduler, Task Scheduler, jobs, stages, tasks and execution plans
  17. PySpark Installation Steps In Local Machine
  18. Dataframe Creation
  19. Data Selection
  20. Data Mathematical Operations
  21. Data Transformations
  22. Dataframe Joins