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Data sources and formats
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Classroom Contents
The Parquet Format and Performance Optimization Opportunities
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- 1 Intro
- 2 Data processing and analytics
- 3 Overview
- 4 Data sources and formats
- 5 Physical storage layout models
- 6 Different workloads
- 7 Row-wise vs Columnar
- 8 Parquet: data organization Data organization
- 9 Parquet: encoding schemes
- 10 Optimization: dictionary encoding
- 11 Optimization: predicate pushdown
- 12 Optimization: partitioning • Embed predicates in directory structure
- 13 Optimization: avoid many small files
- 14 Optimization: avoid few huge files
- 15 Optimization: Delta Lake • Open-source storage layer on top of Parquet in Spark
- 16 Conclusion
