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Learning and Operating Presto: Fast, Reliable SQL for Data Analytics and Lakehouses by Angelica Lo Duca

Learning and Operating Presto: Fast, Reliable SQL for Data Analytics and Lakehouses

by Angelica Lo Duca
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Book cover type: Paperback
  • ISBN13: 9781098141851
  • Binding: Paperback
  • Subject: N/A
  • Publisher: O'Reilly Media
  • Publisher Imprint: O'Reilly Media
  • Publication Date:
  • Pages: 175
  • Original Price: USD 65.99
  • Language: English
  • Edition: N/A
  • Item Weight: 318 grams
  • BISAC Subject(s): Languages / SQL, Data Science / Data Analytics, and Business & Productivity Software / Business Intelligence

The Presto community has mushroomed since its origins at Facebook in 2012. But ramping up this open source distributed SQL query engine can be challenging even for the most experienced engineers. With this practical book, data engineers and architects, platform engineers, cloud engineers, and software engineers will learn how to use Presto operations at your organization to derive insights on datasets wherever they reside.

Authors Angelica Lo Duca, Tim Meehan, Vivek Bharathan, and Ying Su explain what Presto is, where it came from, and how it differs from other data warehousing solutions. You'll discover why Facebook, Uber, Alibaba Cloud, Hewlett Packard Enterprise, IBM, Intel, and many more use Presto and how you can quickly deploy Presto in production.

With this book, you will:

  • Learn how to install and configure Presto
  • Use Presto with business intelligence tools
  • Understand how to connect Presto to a variety of data sources
  • Extend Presto for real-time business insight
  • Learn how to apply best practices and tuning
  • Get troubleshooting tips for logs, error messages, and more
  • Explore Presto's architectural concepts and usage patterns
  • Understand Presto security and administration

Bharathan, Vivek: - Vivek is the Cofounder and Principal Software Engineer at Ahana. Previously, Vivek was a Software Engineer at Uber where he managed Presto clusters with more than 2,500 nodes, processing 35PB of data per day, and worked on extending Presto to support Uber's interactive analytics needs. Prior to Uber, Vivek was an early member of the query-optimizer team at Vertica Systems and made several contributions to the core database engine and the Vertica ecosystem. Earlier in his career at the Laboratory for Artificial Intelligence Research, he developed emerging technologies in decision-support systems and reasoning systems. His Presto contributions include the pushdown of partial aggregations. Vivek holds a M.S. in Computer Science and Engineering from The Ohio State University.

Duca, Angelica Lo: - Angelica Lo Duca is a researcher with a PhD in Computer Science. She currently works in Research and Technology at the Institute of Informatics and Telematics of the Italian National Research Council. Her research areas include Data Science, Machine Learning, Text Analytics, Data Visualization, Data Journalism, and Web Applications. She has also worked with Network Security, Semantic Web, Linked Data, and Blockchain. Additionally, she serves as a professor at the University of Pisa, where she teaches Data Journalism.

Meehan, Tim: - Tim has been fascinated by data problems for much of his career. He's been working on the Presto project since 2018. He's currently works at IBM and heads the Presto Technical Steering Committee. Before IBM, he worked at Meta, Bloomberg, Goldman Sachs, among others.

Su, Ying: - Ying is the performance architect at Ahana, where she works on building more efficient and better price-performant data lake services on Presto and Velox. She has worked for Microsoft SQLServer and Meta Presto in the past and is a Presto committer and TSC board member.

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