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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
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