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Foundations

  • 1. Resilient Distributed Datasets (RDD)
  • 2. DataFrames
  • 3. SparkSQL
  • 4. Execution Plans

Data Movement and Quality

  • 1. Input/Output
  • 2. Joins, Skew, And Data Movement
  • 3. Schemas, Bad Data, And Defensive Reads
  • 4. UDFs Versus Built-In Functions
  • 5. Broadcast Variables And Accumulators

Specialized Workloads

  • 1. Spark Stream, DStreams
  • 2. Structured Streaming
  • 3. Graphs
  • 4. Machine Learning
  • 5. Pandas API On Spark

Projects and Production Shape

  • 1. End-To-End Local Spark Project
  • 2. Testing Spark Code Locally
  • 3. Packaging Spark Jobs

Runtime and Ecosystem

  • 1. Lakehouse Table Formats
  • 2. Spark Connect
  • 3. Tips
  • 4. Date and Time
  • 5. Local Spark setup
  • 6. Local Runtime Notes
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© Copyright 2019, One-Off Coder. Last updated on Apr 10, 2026, 11:42:04 PM.