𝔖 Scriptorium
✦   LIBER   ✦

πŸ“

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

✍ Scribed by Angelica Lo Duca, Vivek Bharathan, Ying Su


Publisher
O'Reilly Media
Tongue
English
Leaves
175
Category
Library

⬇  Acquire This Volume

No coin nor oath required. For personal study only.

✦ Synopsis


The Presto community has mushroomed since its origins at Facebook in 2012. But ramping up this distributed SQL query engine can be challenging even for the most experienced engineers. This practical book shows you how to begin Presto operations at your organization to derive insights on datasets wherever they reside.

Authors Angelica Lo Duca, Vivek Bharathan, and George Wang explain what Presto is, where it came from, and how it differs from other data warehousing solutions. You'll discover why Facebook, Uber, Twitter, and cloud providers, including AWS, Google Cloud, and Alibaba, use Presto and how you can quickly deploy Presto in production.

You'll learn about:

  • Presto security and administration
  • Syntax and connectors
  • Clusters and tuning
  • Troubleshooting: logs, error messages, and more
  • Extending Presto for real-time business insight
  • Extending PrestoDB

πŸ“œ SIMILAR VOLUMES


Learning and Operating Presto: Fast, Rel
✍ Angelica Lo Duca, Tim Meehan, Vivek Bharathan, Ying Su πŸ“‚ Library πŸ“… 2023 πŸ› O’Reilly Media 🌐 English

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 softwa

Learning and Operating Presto: Fast, Rel
✍ Angelica Lo Duca πŸ“‚ Library πŸ“… 2023 πŸ› O'Reilly Media 🌐 English

<p>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 sof

SQL for Data Analytics: Perform fast and
✍ Upom Malik, Matt Goldwasser, Benjamin Johnston πŸ“‚ Library πŸ“… 2019 πŸ› Packt Publishing 🌐 English

<p><b>Take your first steps to become a fully qualified data analyst by learning how to explore large relational datasets.</b><p><b>Key Features</b><p><li>Explore a variety of statistical techniques to analyze your data<li>Integrate your SQL pipelines with other analytics technologies<li>Perform adv

SQL for Data Analytics: Perform fast and
✍ Upom Malik, Matt Goldwasser, Benjamin Johnston πŸ“‚ Library πŸ“… 2019 πŸ› Packt Publishing 🌐 English

Take your first steps to become a fully qualified data analyst by learning how to explore large relational datasets. Key Features β€’ Explore a variety of statistical techniques to analyze your data β€’ Integrate your SQL pipelines with other analytics technologies β€’ Perform advanced analytics suc

SQL for Data Analytics: Perform Fast and
✍ Upom Malik; Matt Goldwasser; Benjamin Johnston πŸ“‚ Library πŸ“… 2019 🌐 English

Take your first steps to become a fully qualified data analyst by learning how to explore large relational datasets. Key Features Explore a variety of statistical techniques to analyze your data Integrate your SQL pipelines with other analytics technologies Perform advanced analytics such as geospat

Open Data for Education: Linked, Shared,
✍ Dmitry Mouromtsev, Mathieu d’Aquin (eds.) πŸ“‚ Library πŸ“… 2016 πŸ› Springer International Publishing 🌐 English

<p><p>This volume comprises a collection of papers presented at an Open Data in Education Seminar and the LILE workshops during 2014-2015.</p><p>In the first part of the book, two chapters give different perspectives on the current use of linked and open data in education, including the use of techn