Matt Fuller,Manfred Moser,Martin Traverso
Trino: The Definitive Guide: SQL at Any Scale, on Any Storage, in Any Environment
Trino: The Definitive Guide: SQL at Any Scale, on Any Storage, in Any Environment
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- More about Trino: The Definitive Guide: SQL at Any Scale, on Any Storage, in Any Environment
Trino is a high-performance distributed SQL query engine that enables fast interactive analytics against various data sources, including data lakes, lakehouses, relational databases, and more. This practical guide teaches analysts, software engineers, and production engineers how to manage, use, and develop with Trino, making it a critical part of their data platform. It covers use cases, tools for connecting to Trino, internal workings, deployment, security, and workload monitoring.
Format: Paperback / softback
Length: 319 pages
Publication date: 14 October 2022
Publisher: O'Reilly Media
In the second edition of this practical guide, you'll delve into the realm of conducting analytics on data, wherever it resides. Whether it's a data lake powered by Hive, a modern lakehouse adorned with Iceberg or Delta Lake, a distinct system like Cassandra, Kafka, or SingleStore, or a relational database such as PostgreSQL or Oracle, this guide empowers analysts, software engineers, and production engineers to harness the power of Trino and seamlessly integrate it into their data platforms. Authored by Matt Fuller, Manfred Moser, and Martin Traverso, this guide showcases how a single Trino query can amalgamate data from diverse sources, enabling analytics across your entire organization. Explore the diverse use cases of Trino, and discover tools that facilitate seamless connections for querying and processing vast datasets. Delve into Trino's intricate internal workings, encompassing support for SQL statements, operators, functions, and more. Implement Trino at scale, monitor workloads, optimize queries, and connect a multitude of applications. Learn from the success stories of other organizations that have successfully adopted Trino as their go-to solution for data analytics.
Weight: 574g
Dimension: 233 x 177 x 20 (mm)
ISBN-13: 9781098137236
Edition number: 2 ed
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