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, a relational database like PostgreSQL or Oracle, or a proprietary data store. 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. 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 and process 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.