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Querying Databricks with Spark SQL
Paperback
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- Book Synopsis
- Databricks stands out as a widely embraced platform dedicated to the creation of data lakes. Within its framework, it extends support to a specialized version of Structured Query Language (SQL) known as Spark SQL. If you are interested in learning more about how to use Spark SQL to analyze data in a data lake, then this book is for you.The book covers everything from basic queries to complex data-processing tasks. It begins with an introduction to SQL and Spark. It then covers the basics of SQL, including data types, operators, and clauses. The next few chapters focus on filtering, aggregation, and calculation. Additionally, it covers dates and times, formatting output, and using logic in your queries. It also covers joining tables, subqueries, derived tables, and common table expressions.
- About The Author
- Adam Aspin is an independent business intelligence consultant based in the United Kingdom. He has worked in Business Intelligence and analytics for over 25 years, and now focuses on Power BI. During this time, he has developed several dozen BI and analytics systems based on several different data platforms.
- Product Details
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- ISBN
- 9789355518019
- Format
- Paperback
- Publisher
- BPB Publications, (05 October 2023)
- Number of Pages
- 556
- Weight
- 900 grams
- Language
- English
- Dimensions
- 240 x 190 x 30 mm
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