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  • Format: PDF


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
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  • Geräte: PC
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  • Größe: 5.34MB
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Produktbeschreibung


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

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Autorenporträt
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.