Subtitled "SQL at Any Scale", this book shows how to perform fast interactive analytics against different data sources using the Presto high-performance, distributed SQL query engine. In this practical guide, authors Matt Fuller, Manfred Moser, and Martin Traverso show how to conduct analytics on data where it lives, whether it’s Hive, Cassandra, a relational database, or a proprietary data store. Initially developed by Facebook, open source Presto is now used by Netflix, Airbnb, LinkedIn, Twitter, Uber, and many other companies. The book shows how a single Presto query can combine data from multiple sources to allow for analytics across the entire organization.

Author: Matt Fuller, Manfred Moser, and Martin Traverso
Publisher: O'Reilly
Date: April 2020
Pages: 310
ISBN: 978-1492044277
Print: 149204427X
Kindle: B086R9FHB7
Audience: Data developers
Level: Intermediate
Category: Data Science

• Get started: Explore Presto’s use cases and learn about tools that will help you connect to Presto and query data
• Go deeper: Learn Presto’s internal workings, including how to connect to and query data sources with support for SQL statements, operators, functions, and more
• Put Presto in production: Secure Presto, monitor workloads, tune queries, and connect more applications; learn how other organizations apply Presto

For recommendations of Big Data books see Reading Your Way Into Big Data in our Programmer's Bookshelf section. 

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