找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

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

[復制鏈接]
查看: 39770|回復: 41
樓主
發(fā)表于 2025-3-21 19:50:38 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱SQL Server Big Data Clusters
副標題Data Virtualization,
編輯Benjamin Weissman,Enrico van de Laar
視頻videohttp://file.papertrans.cn/861/860298/860298.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 K
圖書封面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
關鍵詞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

書目名稱SQL Server Big Data Clusters影響因子(影響力)




書目名稱SQL Server Big Data Clusters影響因子(影響力)學科排名




書目名稱SQL Server Big Data Clusters網(wǎng)絡公開度




書目名稱SQL Server Big Data Clusters網(wǎng)絡公開度學科排名




書目名稱SQL Server Big Data Clusters被引頻次




書目名稱SQL Server Big Data Clusters被引頻次學科排名




書目名稱SQL Server Big Data Clusters年度引用




書目名稱SQL Server Big Data Clusters年度引用學科排名




書目名稱SQL Server Big Data Clusters讀者反饋




書目名稱SQL Server Big Data Clusters讀者反饋學科排名




單選投票, 共有 1 人參與投票
 

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

您所在的用戶組沒有投票權限
沙發(fā)
發(fā)表于 2025-3-21 21:56:42 | 只看該作者
板凳
發(fā)表于 2025-3-22 03:00:06 | 只看該作者
地板
發(fā)表于 2025-3-22 07:52:19 | 只看該作者
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.
5#
發(fā)表于 2025-3-22 11:04:33 | 只看該作者
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.
6#
發(fā)表于 2025-3-22 13:39:12 | 只看該作者
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
7#
發(fā)表于 2025-3-22 17:33:04 | 只看該作者
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.
8#
發(fā)表于 2025-3-22 21:48:40 | 只看該作者
978-1-4842-5984-9Benjamin Weissman and Enrico van de Laar 2020
9#
發(fā)表于 2025-3-23 01:44:48 | 只看該作者
10#
發(fā)表于 2025-3-23 08:29:42 | 只看該作者
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.
 關于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學 Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經(jīng)驗總結 SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學 Yale Uni. Stanford Uni.
QQ|Archiver|手機版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-6 12:24
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權所有 All rights reserved
快速回復 返回頂部 返回列表
富源县| 波密县| 梓潼县| 剑阁县| 法库县| 女性| 新民市| 锡林郭勒盟| 商南县| 宜昌市| 三明市| 潼关县| 巫溪县| 连云港市| 池州市| 长汀县| 延川县| 余干县| 祁连县| 黎城县| 平顶山市| 内江市| 改则县| 奉节县| 祁阳县| 蒙自县| 沙湾县| 云阳县| 江华| 涟源市| 河北区| 荔浦县| 碌曲县| 盱眙县| 当阳市| 繁昌县| 柘城县| 鲁甸县| 思茅市| 潮州市| 来宾市|