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Querying Databricks with Spark SQL
Leverage SQL to query and analyze Big Data for insights
Udgivet af BPB Publications
ISBN
9789355518019
Om denne bog
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 thi…
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Bogdetaljer
Forfatter
Adam Aspin
Forlag
BPB Publications
Kategori
Data warehouse
ISBN-13
9789355518019
EAN
9789355518019
Format
Hæftet
Sprog
Engelsk
sider
556
Undertitel
- Leverage SQL to query and analyze Big Data for insights
Produktbeskrivelse
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.
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