Skip to content

Transformations

Jump to bottom
Awantik Das edited this page Mar 17, 2017 · 15 revisions

Transformations shape your dataset. These include mapping, filtering, joining, and transcoding the values in your dataset. In this section, we will showcase some of the transformations available on RDDs.

map

  1. Understanding Spark
  2. Spark Jobs & API
  3. Architecture
  4. RDD Internals
  5. Creating RDD
  6. Understanding Deployment & Program Behaviour
  7. RDD Transformation & Action
  8. Assignments 1
  9. Best Practices -1
  10. Introduction to DataFrame
  11. PySpark SQL
  12. Pandas to DataFrames
  13. Machine Learning with PySpark
  14. Transformers
  15. Estimators
  16. Spark Streaming
  17. Structured Streaming
  18. GraphX & GraphFrames
  19. Data Processing Architectures
  20. Problems
Clone this wiki locally