找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

Titlebook: SQL Server Big Data Clusters; Data Virtualization, Benjamin Weissman,Enrico van de Laar Book 2020Latest edition Benjamin Weissman and Enric

[复制链接]
查看: 39706|回复: 41
发表于 2025-3-21 19:50:38 | 显示全部楼层 |阅读模式
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Titlebook: SQL Server Big Data Clusters; Data Virtualization, Benjamin Weissman,Enrico van de Laar Book 2020Latest edition Benjamin Weissman and Enric
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
doihttps://doi.org/10.1007/978-1-4842-5985-6
isbn_softcover978-1-4842-5984-9
isbn_ebook978-1-4842-5985-6
copyrightBenjamin Weissman and Enrico van de Laar 2020
The information of publication is updating

书目名称SQL Server Big Data Clusters影响因子(影响力)




书目名称SQL Server Big Data Clusters影响因子(影响力)学科排名




书目名称SQL Server Big Data Clusters网络公开度




书目名称SQL Server Big Data Clusters网络公开度学科排名




书目名称SQL Server Big Data Clusters被引频次




书目名称SQL Server Big Data Clusters被引频次学科排名




书目名称SQL Server Big Data Clusters年度引用




书目名称SQL Server Big Data Clusters年度引用学科排名




书目名称SQL Server Big Data Clusters读者反馈




书目名称SQL Server Big Data Clusters读者反馈学科排名




单选投票, 共有 1 人参与投票
 

1票 100.00%

Perfect with Aesthetics

 

0票 0.00%

Better Implies Difficulty

 

0票 0.00%

Good and Satisfactory

 

0票 0.00%

Adverse Performance

 

0票 0.00%

Disdainful Garbage

您所在的用户组没有投票权限
发表于 2025-3-21 21:56:42 | 显示全部楼层
发表于 2025-3-22 03:00:06 | 显示全部楼层
发表于 2025-3-22 07:52:19 | 显示全部楼层
Create and Consume Big Data Cluster Apps,lication, or app as we will call it in the remainder of this chapter, to perform various maintenance tasks on top of your data like a database backup. Another example is the ability to create an entry point for your machine learning processes through a REST API, a use case which we will explore later in this chapter.
发表于 2025-3-22 11:04:33 | 显示全部楼层
Working with Spark in Big Data Clusters,ailable to query data that is stored inside the HDFS filesystem of your Big Data Cluster. As you have read in Chapter 2, Big Data Clusters also have Spark included in the architecture, meaning we can leverage the power of Spark to query data stored inside our Big Data Cluster.
发表于 2025-3-22 13:39:12 | 显示全部楼层
Machine Learning on Big Data Clusters,e of having access to data stored in different formats is that it allows you to perform analysis of the data at a large, and distributed, scale. One of the more powerful options we can utilize inside Big Data Clusters is the ability to implement machine learning solutions on our data. Because Big Da
发表于 2025-3-22 17:33:04 | 显示全部楼层
Create and Consume Big Data Cluster Apps,werful feature, since it allows you to script and run a wide variety of solutions on top of your Big Data Cluster. For instance, you can create an application, or app as we will call it in the remainder of this chapter, to perform various maintenance tasks on top of your data like a database backup.
发表于 2025-3-22 21:48:40 | 显示全部楼层
978-1-4842-5984-9Benjamin Weissman and Enrico van de Laar 2020
发表于 2025-3-23 01:44:48 | 显示全部楼层
发表于 2025-3-23 08:29:42 | 显示全部楼层
Big Data Cluster Architecture,SQL Server Big Data Clusters are made up from a variety of technologies all working together to create a centralized, distributed data environment. In this chapter, we are going to look at the various technologies that make up Big Data Clusters through two different views.
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 SITEMAP 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-5-3 11:20
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表