東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

FindBook

Google Book

Amazon

博客來

A Positive Data Control System for the Automation of Data Governance Functions.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	A Positive Data Control System for the Automation of Data Governance Functions./
作者:	Ye, Yanbin.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2021,
面頁冊數:	72 p.
附註:	Source: Dissertations Abstracts International, Volume: 83-02, Section: B.
Contained By:	Dissertations Abstracts International83-02B.
標題:	Information science. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28496089
ISBN:	9798535512648

A Positive Data Control System for the Automation of Data Governance Functions.
Ye, Yanbin.

A Positive Data Control System for the Automation of Data Governance Functions. - Ann Arbor : ProQuest Dissertations & Theses, 2021 - 72 p.

Source: Dissertations Abstracts International, Volume: 83-02, Section: B.

Thesis (Ph.D.)--University of Arkansas at Little Rock, 2021.

This item must not be sold to any third party vendors.

Data governance is mission critical. Organizations start to realize the data and information are very important assets. Data governance program could minimize the risk of data lose and maximize the data values. As existing best practices to implement data governance program, most of these practices rely on management strategies, which focus on data governance literacy education, enforcing data policy, standard and processes, etc. However, IT infrastructure strategy has not changed too much to support data governance achievement. Data governance requirements for system design usually is the last concern on the list. Most of the data governance programs collect metadata or metadata changes in a reactive way, which means to extract the metadata changes from system or service logs after the data operations are finished. The drawback for this kind of metadata collection is so obvious. Firstly, the system may not consider exporting the expected metadata information in the system log by design. Secondly, the latency and uncertainty for the system logs collection introduce more complexity in metadata collection and decrease the metadata quality.In order to implement data governance program more efficient, a solution must come from IT system design level. In this paper, a positive data control system which represents a well-implemented data governance system is defined. Essential components and operations for Positive Data Control (PDC) system has been laid out. PDC Data Access API, the core component of PDC, controls all the PDC system data in and out, which by design collects the metadata information about the controlled data operations automatically. We propose the design of PDC Data Access Layer. We also implement it against Hadoop distributed file system and HBase NoSQL database system.

ISBN: 9798535512648Subjects--Topical Terms:

554358
Information science.
Subjects--Index Terms:

API

A Positive Data Control System for the Automation of Data Governance Functions.
LDR:03040nmm a2200397 4500 001 2346620
005 20220620110659.5
008 241004s2021 ||||||||||||||||| ||eng d
020 $a 9798535512648
035 $a (MiAaPQ)AAI28496089
035 $a AAI28496089
040 $a MiAaPQ $c MiAaPQ
100 1 $a Ye, Yanbin. $3 3685751
245 1 0 $a A Positive Data Control System for the Automation of Data Governance Functions.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2021
300 $a 72 p.
500 $a Source: Dissertations Abstracts International, Volume: 83-02, Section: B.
500 $a Advisor: Talburt, John R.
502 $a Thesis (Ph.D.)--University of Arkansas at Little Rock, 2021.
506 $a This item must not be sold to any third party vendors.
520 $a Data governance is mission critical. Organizations start to realize the data and information are very important assets. Data governance program could minimize the risk of data lose and maximize the data values. As existing best practices to implement data governance program, most of these practices rely on management strategies, which focus on data governance literacy education, enforcing data policy, standard and processes, etc. However, IT infrastructure strategy has not changed too much to support data governance achievement. Data governance requirements for system design usually is the last concern on the list. Most of the data governance programs collect metadata or metadata changes in a reactive way, which means to extract the metadata changes from system or service logs after the data operations are finished. The drawback for this kind of metadata collection is so obvious. Firstly, the system may not consider exporting the expected metadata information in the system log by design. Secondly, the latency and uncertainty for the system logs collection introduce more complexity in metadata collection and decrease the metadata quality.In order to implement data governance program more efficient, a solution must come from IT system design level. In this paper, a positive data control system which represents a well-implemented data governance system is defined. Essential components and operations for Positive Data Control (PDC) system has been laid out. PDC Data Access API, the core component of PDC, controls all the PDC system data in and out, which by design collects the metadata information about the controlled data operations automatically. We propose the design of PDC Data Access Layer. We also implement it against Hadoop distributed file system and HBase NoSQL database system.
590 $a School code: 1204.
650 4 $a Information science. $3 554358
650 4 $a Computer science. $3 523869
650 4 $a Information technology. $3 532993
650 4 $a Software. $2 gtt. $3 619355
650 4 $a Data integrity. $3 2142314
650 4 $a Metadata. $3 590006
650 4 $a User needs. $3 3682501
650 4 $a Datasets. $3 3541416
650 4 $a Evolution. $3 532919
650 4 $a Age. $3 1486010
650 4 $a Systems design. $3 3433840
650 4 $a Design. $3 518875
650 4 $a Data collection. $3 3561708
650 4 $a Firewalls. $3 3681935
650 4 $a Data exchange. $3 3685752
650 4 $a Access control. $3 1458437
650 4 $a Data dictionaries. $3 663529
653 $a API
653 $a Automation
653 $a Data access interface
653 $a Data governance
653 $a Metadata management
653 $a Positive data control
690 $a 0723
690 $a 0984
690 $a 0489
690 $a 0389
710 2 $a University of Arkansas at Little Rock. $b Computer Science. $3 1286758
773 0 $t Dissertations Abstracts International $g 83-02B.
790 $a 1204
791 $a Ph.D.
792 $a 2021
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28496089