Presto: The Definitive Guide pdf epub mobi txt 電子書下載2025

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Martin is the Co-Creator of Presto and a Software Engineer at Facebook where he leads the Presto development team. Previously, he was an architect at Proofpoint and Ning. Martin joined Facebook in 2012 when, at the time, Hive was the de facto platform for SQL analytics at Facebook. Seeing a need for fast interactive SQL analytics, Martin and 3 other engineers worked to create what became Presto. In the Spring of 2013, Martin and the team rolled out Presto into production at Facebook where it was later made open source in the Fall of 2013. Since then, Presto has gained wide adoption both internal and external to Facebook.

出版者:O'Reilly Media

作者:Matt Fuller

出品人:

頁數:250

译者:

出版時間:2020-1-10

價格:USD 25.99

裝幀:Paperback

isbn號碼:9781492044277

叢書系列:

圖書標籤:

數據庫
大數據
olap
軟件工程
計算機科學
presto

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Perform fast interactive SQL analytics against different data sources using the Presto distributed SQL query engine. With this practical book, you’ll learn how to conduct analytics on data where it lives, including Hive, Cassandra, relational databases, and proprietary data stores. Matt Fuller from Starburst Data and Presto cocreator Martin Traverso show analysts how to manage, use, and even develop with Presto.

Initially developed by Facebook, open source Presto is now used by Netflix, Airbnb, LinkedIn, Twitter, Uber, and many other companies. You’ll learn how a single Presto query can combine data from multiple sources to allow for analytics across your entire organization.

This book will help you:

Get started using Presto

Explore Presto architectural concepts

Learn best practices and tuning

Use Presto with various business intelligence and SQL analytical tools

Query data from different data sources, including query federation

Learn how to use Presto on Amazon Web Services, Microsoft Azure, and Google Cloud Platform

具體描述

讀後感

評分☆☆☆☆☆

用戶評價

评分☆☆☆☆☆

對我這類SQL 傻逼來說，補充瞭一些知識點: join, intersect, except (其實就是semi anti-join); grouping operations (把多種group by 條件組閤起來，免去人工組閤); over window function (還沒學會咋用); prepare 能抽象一些參數齣來，不過還是沒有直接寫函數方便. 我感覺還是寫pyspark, pandas簡單直接

评分☆☆☆☆☆

整本書不深，不過語言很順暢，組織的不錯，是一本為後續進階可以打個好基礎的書籍。

评分☆☆☆☆☆

整本書不深，不過語言很順暢，組織的不錯，是一本為後續進階可以打個好基礎的書籍。

评分☆☆☆☆☆

整本書不深，不過語言很順暢，組織的不錯，是一本為後續進階可以打個好基礎的書籍。