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ODBIERZ TWÓJ BONUS :: »

Learning and Operating Presto Angelica Lo Duca, Tim Meehan, Vivek Bharathan

(ebook) (audiobook) (audiobook) Książka w języku 1
Learning and Operating Presto Angelica Lo Duca, Tim Meehan, Vivek Bharathan - okladka książki

Learning and Operating Presto Angelica Lo Duca, Tim Meehan, Vivek Bharathan - okladka książki

Learning and Operating Presto Angelica Lo Duca, Tim Meehan, Vivek Bharathan - audiobook MP3

Learning and Operating Presto Angelica Lo Duca, Tim Meehan, Vivek Bharathan - audiobook CD

Autorzy:
Angelica Lo Duca, Tim Meehan, Vivek Bharathan
Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
194
Dostępne formaty:
     ePub
     Mobi

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

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O autorze książki

Angelica Lo Duca is a researcher at the Institute of Informatics and Telematics of the National Research Council, Italy. She is also an external professor of Data Journalism at the University of Pisa. Her research includes Data Science, Data Journalism, and Web Applications. She used to work on Network Security, Semantic Web, Linked Data and Blockchain. She has published more than 40 scientific papers at national and international conferences and journals, and participated in many international projects and events, including as a member of the Program Committee.

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