书目名称 | SQL Server Big Data Clusters | 副标题 | Data Virtualization, | 编辑 | Benjamin Weissman,Enrico van de Laar | 视频video | | 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 K | 图书封面 |  | 描述 | Use this guide to one of SQL Server 2019’s most impactful features—Big Data Clusters. You will learn about data virtualization and data lakes for this complete artificial intelligence (AI) and machine learning (ML) platform within the SQL Server database engine. You will know how to use Big Data Clusters to combine large volumes of streaming data for analysis along with data stored in a traditional database. For example, you can stream large volumes of data from Apache Spark in real time while executing Transact-SQL queries to bring in relevant additional data from your corporate, SQL Server database. .Filled with clear examples and use cases, this book provides everything necessary to get started working with Big Data Clusters in SQL Server 2019. 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 Big Data Clusters in on-premises environments or in the cloud. Next, you are taught about querying. You will learn to write queries in Transact-SQL—taking advantage of skills you have honed for years—and with those queries you will be able to examine and analyze data from | 出版日期 | Book 2020Latest edition | 关键词 | SQL Server; SQL Server 2019; Apache Spark; Machine Learning; Kubernetes; PolyBase; Linux; Docker; Big Data; D | 版次 | 2 | doi | https://doi.org/10.1007/978-1-4842-5985-6 | isbn_softcover | 978-1-4842-5984-9 | isbn_ebook | 978-1-4842-5985-6 | copyright | Benjamin Weissman and Enrico van de Laar 2020 |
The information of publication is updating
|
|