| 书目名称 | SQL Server Big Data Clusters |
| 副标题 | Early First Edition |
| 编辑 | Benjamin Weissman,Enrico van de Laar |
| 视频video | http://file.papertrans.cn/861/860297/860297.mp4 |
| 概述 | Introduces the marquee feature in SQL Server 2019 for combining HDFS and relational data.Explains the pros and cons of data virtualization versus data integration (PolyBase vs. SSIS).Shows the use of |
| 图书封面 |  |
| 描述 | Get a head-start on learning one of SQL Server 2019’s latest and most impactful features—Big Data Clusters—that combines large volumes of non-relational data for analysis along with data stored relationally inside a SQL Server database. This book provides a first look at Big Data Clusters based upon SQL Server 2019 Release Candidate 1. Start now and get a jump on your competition in learning this important new feature. .Big Data Clusters is a feature set covering data virtualization, distributed computing, and relational databases and provides a complete AI platform across the entire cluster environment. This book shows you how to deploy, manage, and use Big Data Clusters. For example, you will learn how to combine data stored on the HDFS file system together with data stored inside the SQL Server instances that make up the Big Data Cluster. .Filled with clear examples and use cases, this book provides everything necessary to get started working with Big Data Clusters in SQL Server 2019 using Release Candidate 1. You will learn about the architectural foundations that are made up from Kubernetes, Spark, HDFS, and SQL Server on Linux. You then are shown how to configure and deploy B |
| 出版日期 | Book 20191st edition |
| 关键词 | SQL Server; SQL Server 2019; Apache Spark; Machine Learning; Kubernetes; PolyBase; Linux; Docker; Big Data; D |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-4842-5110-2 |
| isbn_ebook | 978-1-4842-5110-2 |
| copyright | Benjamin Weissman and Enrico van de Laar 2019 |
|Archiver|手机版|小黑屋|
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