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.
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Matt Fuller is a co-founder at Starburst Data, the Analytics Anywhere Company. Prior to founding Starburst, Matt was a director of engineering at Teradata, where he worked to build the new Center for Hadoop division within the company. As a major part of this, Matt worked to bring Trino to the enterprise market. Matt has managed a team contributing to the open source Trino project since 2015 and led the internal Trino product roadmap. Starburst was later formed from this team at Teradata.
Before Teradata, Matt was an early engineer at Vertica, where he co-built the query optimizer. Matt is also a Very Large Databases (VLDB) published author and has US patents in the database management systems space.
His database background includes designing databases and related applications in the RDBMS space and working as business intelligence consultant wrangling thousands of lines of SQL by hand. He is glad he can use Presto now, and is spreading the word about how great Presto is.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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