Big Data with Spark
What to do when data outgrows one machine: distributed thinking, RDDs and DataFrames, lazy transformations vs actions, joins and the expensive shuffle, partitioning, Parquet columnar formats, window functions, Spark SQL, and a capstone analyzing a dataset too big for pandas habits. Taught through runnable pandas stand-ins.
Every lesson runs real code in your browser, checked the moment you submit. No installing anything, no setup, no waiting.
Start Big Data with Spark freeWhat this course covers
- When Data Outgrows One Machine
- Distributed Thinking
- RDDs and DataFrames
- Transformations vs Actions
- DataFrame Operations
- GroupBy and Aggregations
- Joins Across Big Tables
- Shuffles: The Expensive Move
- Partitioning Your Data
- Parquet and Columnar Formats
- Window Functions
- Spark SQL
- Capstone: Analyze a Big Dataset
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