Trino: The Definitive Guide: SQL at Any Scale, on Any Storage, in Any Environment,2/e

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.

• Explore Trino's use cases, and learn about tools that help you connect to Trino for querying and processing huge amounts of data
• Learn Trino's internal workings, including how to connect to and query data sources with support for SQL statements, operators, functions, and more
• Deploy and secure Trino at scale, monitor workloads, tune queries, and connect more applications
• Learn how other organizations apply Trino successfully

使用高性能分布式SQL查询引擎Trino，对不同数据源进行快速交互式分析。在本实用指南的第二版中，您将学习如何在数据所在的位置进行分析，无论是使用Hive的数据湖，Iceberg或Delta Lake的现代数据湖，像Cassandra、Kafka或SingleStore这样的不同系统，还是像PostgreSQL或Oracle这样的关系数据库。

分析师、软件工程师和生产工程师学习如何管理、使用甚至开发Trino，并将其作为数据平台的关键组成部分。作者Matt Fuller、Manfred Moser和Martin Traverso向您展示了如何使用单个Trino查询结合来自多个源的数据，实现对整个组织的分析。

- 探索Trino的用例，并了解帮助您连接到Trino以查询和处理大量数据的工具
- 了解Trino的内部工作原理，包括如何连接到和查询支持SQL语句、运算符、函数等的数据源
- 在规模上部署和保护Trino，监视工作负载，调整查询，并连接更多应用程序
- 了解其他组织如何成功应用Trino