Trino : The Definitive Guide: SQL at Any Scale on Any Storage in Any Environment
Perform fast interactive analytics against different data sources using the Trino high-performance distributed SQL query engine. With this practical guide, you’ll learn how to conduct analytics on data where it lives, whether it’s Hive, Cassandra, a relational database, or a proprietary data store. Analysts, software engineers, and production engineers will learn how to manage, use, and even develop with Trino.
Initially developed by Facebook, open source Trino is now used by Amazon, Google, LinkedIn, Lyft, Netflix, Pinterest, Salesforce, Shopify, and many other companies. Matt Fuller, Manfred Moser, and Martin Traverso show you how a single Trino query can combine data from multiple sources to allow for analytics across your entire organization.
- Get started: Explore Trino’s use cases and learn about tools that will help you connect to Trino and query data
- Go deeper: Learn Trino’s internal workings, including how to connect to and query data sources with support for SQL statements, operators, functions, and more
- Put Trino in production: Secure Trino, monitor workloads, tune queries, and connect more applications; learn how other organizations apply Trino
About the Author
Matt Fuller is a cofounder at Starburst, the Presto Company. Prior to founding Starburst, Matt was a director of engineering at Teradata, where he worked to build the new Center for Hadoop division within the company. As a major part of this, Matt worked to bring Presto to the enterprise market. Matt has managed a team contributing to the open source Presto project since 2015 and led the internal Presto product roadmap. Starburst was later formed from this team at Teradata.
Before Teradata, Matt was an early engineer at Vertica, where he co-built the query optimizer. Matt is also a Very Large Databases (VLDB) published author and has US patents in the database management systems space.
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