书目名称 | SQL on Big Data | 副标题 | Technology, Architec | 编辑 | Sumit Pal | 视频video | | 概述 | Covers the merits and drawbacks of each solution.The only book available that focuses on putting everything together and stitching a story around it rather than focusing on one solution | 图书封面 |  | 描述 | .Learn various commercial and open source products that perform SQL on Big Data platforms. You will understand the architectures of the various SQL engines being used and how the tools work internally in terms of execution, data movement, latency, scalability, performance, and system requirements..This book consolidates in one place solutions to the challenges associated with the requirements of speed, scalability, and the variety of operations needed for data integration and SQL operations. After discussing the history of the how and why of SQL on Big Data, the book provides in-depth insight into the products, architectures, and innovations happening in this rapidly evolving space..SQL on Big Data. discusses in detail the innovations happening, the capabilities on the horizon, and how they solve the issues of performance and scalability and the ability to handle different data types. The book covers how SQL on Big Data engines are permeating the OLTP, OLAP, and Operational analytics space and the rapidly evolving HTAP systems..You will learn the details of:.Batch Architectures.—Understand the internals and how the existing Hive engine is built and how it is evolving continually to | 出版日期 | Book 2016 | 关键词 | Big data; SQL; Hadoop; data movement; scalability; data integration; SQL on big data; SQL on Hadoop; OLTP; OL | 版次 | 1 | doi | https://doi.org/10.1007/978-1-4842-2247-8 | isbn_softcover | 978-1-4842-2246-1 | isbn_ebook | 978-1-4842-2247-8 | copyright | Sumit Pal 2016 |
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