Metadata Management for Information Con

By: Guy Tozer

Write A Review

Hardcover | 31 August 1999

At a Glance

Hardcover
348 Pages

Dimensions(cm)
24.13 x 16.51 x 2.54

Hardcover

$209.75

or 4 interest-free payments of $52.44 with

Ships in 15 to 25 business days

Seeking to define a new approach to data management at the enterprise level, this work takes the reader beyond information management to information control, where the methods of data capture and manipulation supersede data quantity. Using the metadata approach ensures long-term, universal control of all data characteristics and improves the effectiveness of IT as a corporate function by minimizing the potential for errors, and improving communication and understanding between IT and other disciplines. By describing how to establish metadata management within an organization, this volume provides examples of data structure architectures, and reviews issues associated with metadata management in relation to the Internet and data warehousing. It offers to help the reader to control the factors that make data useable throughout an organization and manage data so that it becomes a valuable corporate asset. The book examines real-world business departments that can benefit from this approach and ways in which sets of metadata can be both autonomous and overlapping.

Shipping

	Standard Shipping	Express Shipping
Metro postcodes:	$9.99	$14.95
Regional postcodes:	$9.99	$14.95
Rural postcodes:	$9.99	$14.95

Orders over $79.00 qualify for free shipping.

How to return your order

At Booktopia, we offer hassle-free returns in accordance with our returns policy. If you wish to return an item, please get in touch with Booktopia Customer Care.

Additional postage charges may be applicable.

Defective items

If there is a problem with any of the items received for your order then the Booktopia Customer Care team is ready to assist you.

For more info please visit our Help Centre.

You Can Find This Book In

Non-Fiction Computing & I.T.Databases Self-Help, Personal Development & Practical Advice Advice on Careers & Achieving Success Library & Info Sciences Business & Management Business Mathematics & Systems Management & Management Techniques Management Decision Making

Preface	p. xix
The Concept of Metadata	p. 1
Background	p. 3
Information in business--an overview	p. 3
Common factors affecting data quality	p. 5
Data flexibility and responsiveness to business change	p. 7
Active IM	p. 8
Information management processes	p. 9
Data and metadata	p. 9
Information technology--science, engineering, or black magic?	p. 11
IT organizations and responsibilities	p. 13
Metadata entity types	p. 14
Introduction to the enterprise metamodel	p. 15
The importance of metadata	p. 17
The Challenges of Information Management	p. 21
Challenge 1: Recognizing the fallacy of software engineering	p. 22
The evolution of software engineering	p. 26
Challenge 2: Distinguishing between data and information	p. 31
Challenge 3: Recognizing data/application independence	p. 32
Challenge 4: The information overload problem	p. 33
Challenge 5: Effective classification of information	p. 33
Occam's dilemma--recognizing necessary complexity	p. 37
Metadata analysis	p. 40
Establishing a Common Basic Metamodel	p. 47
Entities	p. 48
Attributes	p. 50
Classification	p. 51
Relationships	p. 51
Domains	p. 52
Events	p. 52
Metadata in the Business	p. 57
Managing the Metadata	p. 59
The principles of metadata management	p. 59
Metadata management roles and responsibilities	p. 69
The responsibilities of the metadata manager	p. 72
Scalability of metadata management activities	p. 75
The Role of Metadata in Application Development and Support	p. 79
Introduction	p. 79
Metadata and the management of consistency	p. 80
Developing a component-driven approach	p. 86
The price of reusability	p. 89
The metamodel library	p. 91
Case study 1: Matrices	p. 92
Case study 2: Work planning	p. 96
Case study 3: Control loops	p. 97
Further examples of reusable constructs	p. 98
Application development	p. 100
Business process development and reengineering	p. 103
Legacy systems and the mapping problem	p. 104
Metadata in Data Warehousing and Business Intelligence	p. 107
The data warehouse paradigm	p. 108
Approaches to data mart deployment	p. 114
Operational metadata	p. 120
Informational metadata	p. 123
Decision support and OLAP	p. 125
BI tool type 1: Multidimensional OLAP	p. 126
BI tool type 2: Relational OLAP	p. 127
Informational metadata summary	p. 128
Metadata management and proliferation within a data warehouse	p. 129
Conclusions	p. 131
The Role of Metadata on the Internet	p. 133
Information storage on the Internet	p. 133
Setting standards for data	p. 135
Extensible mark-up language (XML)--the beginnings of metalanguage	p. 137
Current XML metalanguages	p. 139
The problem of data standards	p. 140
The future of the search engine?	p. 143
One step further--DBMS Web integration	p. 146
Summary--toward second-generation e-commerce	p. 147
The Basics of Metamodeling	p. 151
Design and Management of MetaData-bases	p. 153
Introduction to the metamodels	p. 153
Basic data structure metadata	p. 156
Metadata and data value control	p. 170
Application deployment and configuration control metadata	p. 177
Process modeling metadata	p. 184
Project and people management metadata	p. 189
IT infrastructure management metadata	p. 194
Interaction Between the Metamodels	p. 199
Introduction	p. 199
Data/application metamodel interaction	p. 200
People/application metamodel interaction	p. 206
Application/infrastructure metamodel interaction	p. 209
Data Model Compatibility	p. 213
The Data Management Metamodel	p. 217
The ATTRIBUTE entity	p. 217
The DATA MODEL entity	p. 220
The DATA MODEL ATTRIBUTE entity	p. 222
The DATA MODEL ENTITY entity	p. 223
The DATA MODEL RELATIONSHIP entity	p. 224
The DATA MODEL SUBTYPING entity	p. 226
The ATTRIBUTE TYPE entity	p. 227
The DOMAIN entity	p. 228
The ENTITY entity	p. 230
The ENTITY OCCURRENCE entity	p. 232
The IDENTIFIER entity	p. 234
The Key Attribute entity	p. 235
The Relationship entity	p. 236
The Subtyping entity	p. 239
The Subtype Categorization entity	p. 241
The Foreign identifier entity	p. 243
The Foreign Identifier Attribute entity	p. 244
The Application Management Metamodel	p. 247
The Application entity	p. 247
The Application Instiallation entity	p. 250
The Application Module entity	p. 252
The Application Security Module entity	p. 254
The Application Development Module entity	p. 255
The Application Module Release entity	p. 258
The Application Release entity	p. 260
The Application User entity	p. 262
The Business Event entity	p. 263
The Business Process entity	p. 265
The Process Decomposition entity	p. 266
The Software Supplier entity	p. 268
The Activity Management Metamodel	p. 269
The Assignment entity	p. 269
The It Employee entity	p. 271
The Job Role entity	p. 272
The Project entity	p. 274
The Project Phase entity	p. 276
The Project Plan entity	p. 277
The Responsibility entity	p. 278
The Supervisor entity	p. 280
The Task entity	p. 281
The Infrastructure Management Metamodel	p. 285
The Computer entity	p. 285
The Network entity	p. 287
The Location entity	p. 289
The Network Node entity	p. 291
The Server entity	p. 292
The Peripheral Device entity	p. 293
Glossary	p. 295
About the Author	p. 301
Index	p. 303
Table of Contents provided by Syndetics. All Rights Reserved.

Metadata Management for Information Con

At a Glance

Hardcover

Shipping

How to return your order

Defective items

You Can Find This Book In

More in Databases

Python All-in-One For Dummies

3rd Edition

SPSS Survival Manual

7th Edition - A step by step guide to data analysis using IBM SPSS

Storytelling with Data

A Data Visualization Guide for Business Professionals, 10th Anniversary Edition

Microsoft Power BI For Dummies

For Dummies (Computer/Tech)

Database Systems

A Practical Approach

Tools and Applications of Data Mining

Big Data Analytics

A Practical Guide

The Data Science and Psychology

Data Mining

Concepts, Techniques and Applications

The Data Warehouse Toolkit 3ed

The Definitive Guide to Dimensional Modeling

Microsoft 365 Access For Dummies

Access for Dummies

The Art of Explanation

How to Communicate with Clarity and Confidence

Microsoft Excel 365 Bible

Bible

Designing Data-Intensive Applications

Big Ideas Behind Reliable, Scalable, and Maintainable Systems

The Crypto Trader

How anyone can make money trading Bitcoin and other cryptocurrencies

Modern Data Analytics in Excel

Using Power Query, Power Pivot and More for Enhanced Data Analytics

Deciphering Data Architectures

Choosing Between a Modern Data Warehouse, Data Fabric, Data Lakehouse, and Data Mesh

Data Visualization with Microsoft Power Bi

How to Design Savvy Dashboards

Data Governance: The Definitive Guide

People, Processes, and Tools to Operationalize Data Trustworthiness

Apache Iceberg: The Definitive Guide

Data Lakehouse Functionality, Performance, and Scalability on the Data Lake

R for Data Science

Import, Tidy, Transform, Visualize, and Model Data

The Data Hero Playbook

Developing Your Data Leadership Superpowers

Oracle in a Nutshell

In a Nutshell (O'Reilly)

Data Science from Scratch

First Principles with Python

This product is categorised by