Presto权威指南(影印版)(英文版)

高性能分布式SQL查询 引擎Presto可用于对不同的 数据源执行快速的交互式 分析。这本实用指南将带 你学习如何对Hive、 Cassandra、关系数据库或 专有数据存储中的数据进 行分析。分析师、软件工 程师、生产工程师可以从 中学习Presto的管理、使用 甚至开发。 最初由Facebook开发的 开源软件Presto如今已被 Netflix、Airbnb、LinkedIn、 Twitter、Uber和许多其他 公司使用。Matt Fuller、 Manfred Moser、Martin Traverso向你展示了单个 Presto查询如何组合来自多 个源头的数据，从而对整 个组织进行分析。

Foreword. Preface. Part I. Getting Started with Presto 1. Introducing Presto.. The Problems with Big Data Presto to the Rescue Designed for Performance and Scale SQL-on-Anything Separation of Data Storage and Query Compute Resources Presto Use Cases One SQL Analytics Access Point Access Point to Data Warehouse and Source Systems Provide SQL-Based Access to Anything Federated Queries Semantic Layer for a Virtual Data Warehouse Data Lake Query Engine SQL Conversions and ETL Better Insights Due to Faster Response Times Big Data, Machine Learning, and Artificial Intelligence Other Use Cases Presto Resources Website Documentation Community Chat Source Code, License, and Version Contributing Book Repository Iris Data Set Flight Data Set A Brief History of Presto Conclusion 2. Installing and Configuring Presto. Trying Presto with the Docker Container Installing from Archive File Java Virtual Machine Python Installation Configuration Adding a Data Source Running Presto Conclusion 3. Using Presto.. Presto Command-Line Interface Getting Started Pagination History Additional Diagnostics Executing Queries Output Formats Ignoring Errors Presto JDBC Driver Downloading and Registering the Driver Establishing a Connection to Presto Presto and ODBC Client Libraries Presto Web UI SQL with Presto Concepts First Examples Conclusion Part II. Diving Deeper into presto Part III. Presto in Real-World Uses Index