國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Modern data strategy

Fellows, Lorraine.

Modern data strategy

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Modern data strategyby Mike Fleckenstein, Lorraine Fellows.
作者:	Fleckenstein, Mike.
其他作者:	Fellows, Lorraine.
出版者:	Cham :Springer International Publishing :2018.
面頁冊數:	xix, 263 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Database management.
電子資源:	http://dx.doi.org/10.1007/978-3-319-68993-7
ISBN:	9783319689937$q(electronic bk.)

Modern data strategy
Fleckenstein, Mike.

Modern data strategy[electronic resource] /by Mike Fleckenstein, Lorraine Fellows. - Cham :Springer International Publishing :2018. - xix, 263 p. :ill., digital ;24 cm.

1 Evolution to Modern Data Management -- 2 Big Data and Data Management -- 3 Valuing Data as an Asset -- 4 Physical Asset Management vs. Data Management -- 5 Leading Data Strategy -- 6 Implementing a Data Strategy -- 7 Overview of Data Management Frameworks -- 8 Data Governance -- 9 Data Architecture -- 10 Master Data Management -- 11 Data Quality -- 12 Data Warehousing and Business Intelligence -- 13 Data Analytics -- 14 Data Privacy -- 15 Data Security -- 16 Metadata -- 17 Records Management.

This book contains practical steps business users can take to implement data management in a number of ways, including data governance, data architecture, master data management, business intelligence, and others. It defines data strategy, and covers chapters that illustrate how to align a data strategy with the business strategy, a discussion on valuing data as an asset, the evolution of data management, and who should oversee a data strategy. This provides the user with a good understanding of what a data strategy is and its limits. Critical to a data strategy is the incorporation of one or more data management domains. Chapters on key data management domains--data governance, data architecture, master data management and analytics, offer the user a practical approach to data management execution within a data strategy. The intent is to enable the user to identify how execution on one or more data management domains can help solve business issues. This book is intended for business users who work with data, who need to manage one or more aspects of the organization's data, and who want to foster an integrated approach for how enterprise data is managed. This book is also an excellent reference for students studying computer science and business management or simply for someone who has been tasked with starting or improving existing data management.

ISBN: 9783319689937$q(electronic bk.)

Standard No.: 10.1007/978-3-319-68993-7doiSubjects--Topical Terms:

182428
Database management.

LC Class. No.: QA76.9.D3

Dewey Class. No.: 005.7406

Modern data strategy
LDR:02822nmm a2200325 a 4500 001 531669
003 DE-He213
005 20180212092047.0
006 m d
007 cr nn 008maaau
008 181113s2018 gw s 0 eng d
020 $a 9783319689937$q(electronic bk.)
020 $a 9783319689920$q(paper)
024 7 $a 10.1007/978-3-319-68993-7 $2 doi
035 $a 978-3-319-68993-7
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.D3
072 7 $a UT $2 bicssc
072 7 $a COM069000 $2 bisacsh
072 7 $a COM032000 $2 bisacsh
082 0 4 $a 005.7406 $2 23
090 $a QA76.9.D3 $b F593 2018
100 1 $a Fleckenstein, Mike. $3 806245
245 1 0 $a Modern data strategy $h [electronic resource] / $c by Mike Fleckenstein, Lorraine Fellows.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2018.
300 $a xix, 263 p. : $b ill., digital ; $c 24 cm.
505 0 $a 1 Evolution to Modern Data Management -- 2 Big Data and Data Management -- 3 Valuing Data as an Asset -- 4 Physical Asset Management vs. Data Management -- 5 Leading Data Strategy -- 6 Implementing a Data Strategy -- 7 Overview of Data Management Frameworks -- 8 Data Governance -- 9 Data Architecture -- 10 Master Data Management -- 11 Data Quality -- 12 Data Warehousing and Business Intelligence -- 13 Data Analytics -- 14 Data Privacy -- 15 Data Security -- 16 Metadata -- 17 Records Management.
520 $a This book contains practical steps business users can take to implement data management in a number of ways, including data governance, data architecture, master data management, business intelligence, and others. It defines data strategy, and covers chapters that illustrate how to align a data strategy with the business strategy, a discussion on valuing data as an asset, the evolution of data management, and who should oversee a data strategy. This provides the user with a good understanding of what a data strategy is and its limits. Critical to a data strategy is the incorporation of one or more data management domains. Chapters on key data management domains--data governance, data architecture, master data management and analytics, offer the user a practical approach to data management execution within a data strategy. The intent is to enable the user to identify how execution on one or more data management domains can help solve business issues. This book is intended for business users who work with data, who need to manage one or more aspects of the organization's data, and who want to foster an integrated approach for how enterprise data is managed. This book is also an excellent reference for students studying computer science and business management or simply for someone who has been tasked with starting or improving existing data management.
650 0 $a Database management. $3 182428
650 0 $a Database security. $3 214959
650 1 4 $a Computer Science. $3 212513
650 2 4 $a Information Systems and Communication Service. $3 274025
650 2 4 $a Business Information Systems. $3 274346
650 2 4 $a Systems and Data Security. $3 274481
700 1 $a Fellows, Lorraine. $3 806246
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-68993-7
950 $a Computer Science (Springer-11645)