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

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

A propos de l'auteur

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.

Détails du produit

• Auteurs: Angelica Lo Duca, Vivek Bharathan, Angelica Lo Duca, Angelica Lo Duca, Tim Meehan, Ying Su
• Edition: O'Reilly
• Langues: Anglais
• Format d'édition: Livre de poche
• Sortie: 31.10.2023
• EAN: 9781098141851
• ISBN: 978-1-09-814185-1
• Dimensions: 150 mm x 250 mm x 15 mm
• Poids: 666 g
• Catégories: Sciences naturelles, médecine, informatique, technique > Informatique, ordinateurs > Informatique; Sciences sociales, droit, économie > Economie > Général, dictionnaires; Data Mining, COMPUTERS / Programming / Open Source, database programming, Enterprise Software, Information visualization, Operational research, Computer programming / software engineering, Databases, COMPUTERS / Data Science / Data Visualization, Programming and scripting languages: general, COMPUTERS / Data Science / Data Analytics, COMPUTERS / Database Administration & Management, Data capture and analysis, COMPUTERS / Languages / SQL