Data Skipping Sample for Scala
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May 14, 2020
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Learn how to improve SQL queries performance with the demonstration of the performance optimization technique of data skipping. Metadata is used to mark columns which have data that has no relevance to the analysis. All Spark native data formats are supported, including Parquet, ORC, CSV, JSON and Avro. This notebook runs on Spark and Scala 2.11.