Querying Databricks with Spark SQL by Adam Aspin (.ePUB)

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File Size: 37.4 MB

Querying Databricks with Spark SQL: Leverage SQL to query and analyze Big Data for insights by Adam Aspin
Requirements: .ePUB reader, 37.4 MB
Overview: A practical guide to using Spark SQL to perform complex queries on your Databricks data. 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. 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. Data is the lifeblood of the enterprise. Whether “Big Data” or the data stored in classic databases, it is queried using a variant of Structured Query Language (SQL). So, simply put, SQL is key to data analysis.
Genre: Non-Fiction > Tech & Devices

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