Querying Databricks with Spark SQL : Leverage SQL to query and analyze Big Data for insights
by
Adam Aspin
Book Details
Format
Paperback / Softback
ISBN-10
9355518013
ISBN-13
9789355518019
Publisher
BPB Publications
Imprint
BPB Publications
Country of Manufacture
IN
Country of Publication
GB
Publication Date
Mar 2nd, 2023
Print length
556 Pages
Weight
900 grams
Dimensions
18.90 x 24.00 x 2.90 cms
Product Classification:
Data warehousingDatabase software
Ksh 6,800.00
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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.
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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