Perform fast interactive analytics against different data sources using the Trino high-performance distributed SQL query engine. In the second edition of this practical guide, you’ll learn how to conduct analytics on data where it lives, whether it’s a data lake using Hive, a modern lakehouse with Iceberg or Delta Lake, a different system like Cassandra, Kafka, or SingleStore, or a relational database like PostgreSQL or Oracle.
Analysts, software engineers, and production engineers learn how to manage, use, and even develop with Trino and make it a critical part of their data platform. Authors 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 help you connect to Trino for querying and processing huge amounts of 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: Deploy and secure Trino at scale, monitor workloads, tune queries, and connect more applications; Learn how other organizations apply Trino successfully