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Querying Databricks with Spark SQL

About Querying Databricks with Spark SQL

Additionally, it discusses correlated subqueries, joining and filtering datasets, using SQL in calculations, segmenting and classifying data, rolling analysis, and analyzing data over time. The book concludes with a chapter on advanced data presentation.

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  • Language:
  • English
  • ISBN:
  • 9789355518019
  • Binding:
  • Paperback
  • Pages:
  • 556
  • Published:
  • March 1, 2023
  • Dimensions:
  • 240x189x29 mm.
  • Weight:
  • 900 g.
  In stock
Delivery: 3-5 business days
Expected delivery: January 1, 2025

Description of Querying Databricks with Spark SQL

Additionally, it discusses correlated subqueries, joining and filtering datasets, using SQL in calculations, segmenting and classifying data, rolling analysis, and analyzing data over time. The book concludes with a chapter on advanced data presentation.

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