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Cover
Front Matter
1. Introduction to PySpark SQL
2. Installation
3. IO in PySpark SQL
4. Operations on PySpark SQL DataFrames
5. Data Merging and Data Aggregation Using PySparkSQL
6. SQL, NoSQL, and PySparkSQL
7. Optimizing PySpark SQL
8. Structured Streaming
9. GraphFrames
Back Matter
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