Inmon is considered the father of the data warehouse concept, and here teams up with John A Zachman of framework fame, and warehouse practitioner Jonathon G. Geiger to explain how a company can spin data into information. They discuss such matters as the importance of data architecture, how the Zachman Framework has enhanced the role of data administration, migrating legacy systems, and applying the Framework to support total quality management and reengineering efforts. Annotation c. by Book News, Inc., Portland, Or.

Data Stores, Data Warehousing, and the Zachman Framework: Managing Enterprise Knowledge (McGraw-Hill Series on Data Warehousing and Data Management)

Computers & Technology

Inmon, William H.

Zachman, John A.

Geiger, Jonathan G.

Networking & Cloud Computing

Computing McGraw-Hill

“The authors, the best minds on the topic, are breaking new ground. They show how every organization can realize the benefits of a system that can search and present complex ideas or data from what has been a mostly untapped source of raw data.” --Randy Chalfant, CTO, Sun Microsystems The Definitive Guide to Unstructured Data Management and Analysis--From the World’s Leading Information Management Expert A wealth of invaluable information exists in unstructured textual form, but organizations have found it difficult or impossible to access and utilize it. This is changing rapidly: new approaches finally make it possible to glean useful knowledge from virtually any collection of unstructured data. William H. Inmon--the father of data warehousing--and Anthony Nesavich introduce the next data revolution: unstructured data management. Inmon and Nesavich cover all you need to know to make unstructured data work for your organization. You’ll learn how to bring it into your existing structured data environment, leverage existing analytical infrastructure, and implement textual analytic processing technologies to solve new problems and uncover new opportunities. Inmon and Nesavich introduce breakthrough techniques covered in no other book--including the powerful role of textual integration, new ways to integrate textual data into data warehouses, and new SQL techniques for reading and analyzing text. They also present five chapter-length, real-world case studies--demonstrating unstructured data at work in medical research, insurance, chemical manufacturing, contracting, and beyond. This book will be indispensable to every business and technical professional trying to make sense of a large body of unstructured text: managers, database designers, data modelers, DBAs, researchers, and end users alike. Coverage includes <ul>
<li> What unstructured data is, and how it differs from structured data </li> <li> First generation technology for handling unstructured data, from search engines to ECM--and its limitations </li> <li> Integrating text so it can be analyzed with a common, colloquial vocabulary: integration engines, ontologies, glossaries, and taxonomies </li> <li> Processing semistructured data: uncovering patterns, words, identifiers, and conflicts </li> <li> Novel processing opportunities that arise when text is freed from context </li> <li> Architecture and unstructured data: Data Warehousing 2.0 </li> <li> Building unstructured relational databases and linking them to structured data </li> <li> Visualizations and Self-Organizing Maps (SOMs), including Compudigm and Raptor solutions </li> <li> Capturing knowledge from spreadsheet data and email </li> <li> Implementing and managing metadata: data models, data quality, and more </li> </ul>
William H. Inmon is founder, president, and CTO of Inmon Data Systems. He is the father of the data warehouse concept, the corporate information factory, and the government information factory. Inmon has written 47 books on data warehouse, database, and information technology management; as well as more than 750 articles for trade journals such as Data Management Review, Byte, Datamation, and ComputerWorld. His b-eye-network.com newsletter currently reaches 55,000 people. Anthony Nesavich worked at Inmon Data Systems, where he developed multiple reports that successfully query unstructured data. Preface xvii 1 Unstructured Textual Data in the Organization 1 2 The Environments of Structured Data and Unstructured Data 15 3 First Generation Textual Analytics 33 4 Integrating Unstructured Text into the Structured Environment 47 5 Semistructured Data 73 6 Architecture and Textual Analytics 83 7 The Unstructured Database 95 8 Analyzing a Combination of Unstructured Data and Structured Data 113 9 Analyzing Text Through Visualization 127 10 Spreadsheets and Email 135 11 Metadata in Unstructured Data 147 12 A Methodology for Textual Analytics 163 13 Merging Unstructured Databases into the Data Warehouse 175 14 Using SQL to Analyze Text 185 15 Case Study--Textual Analytics in Medical Research 195 16 Case Study--A Database for Harmful Chemicals 203 17 Case Study--Managing Contracts Through an Unstructured Database 209 18 Case Study--Creating a Corporate Taxonomy (Glossary) 215 19 Case Study--Insurance Claims 219 Glossary 227 Index 233

Tapping Into Unstructured Data: Integrating Unstructured Data and Textual Analytics Into Business Intelligence

Business & Money

Nesavich, Anthony

Management & Leadership

Prentice Hall PTR

EFFECTIVE DATA BASE DESIGN, written by William H. Inmon, and published by Prentice-Hall in 1981, was one in a series of books in Data Processing Management. As noted on the back of the book, "Most of the problems associated with the effective application of computer data base technology can be traced to design inadequacies, especially those related to data structures, the data interrelationships Amon data vases, and other data-related problems. In fact, after W.H. Inmon surveyed many data base users, he found 'it became apparent that solving the major problems of data design would be a significant step toward the larger problem of building satisfactory data base applications...' 'The purpose of this book,' he writes,' 'is to explore many of those problems and how they can be prevented' by identifying the major problems of data base design in modern production systems, presenting solutions to those problems that are appropriate at the design level, and, in some cases, discussing solutions that can be used at the implementation level. In fifteen early written and well-organized chapters, EFFECTIVE DATA BASE DESIGN addresses the subject conceptually, rather than emphasizing mechanical aspects of design. Coverage includes the evolution of data design, data base environment, data structures and data design, data base design and optimization, optimizing flexibility in data base design, combining considerations of flexibility and performance, large data base design, restructuring data bases, data base design review, structural analysis, time-dependent data structures; structural auditing and documentation, reports, queries and data structures and selected examples of design problems taken from actual practical situations."

Effective Data Base Design (Prentice-Hall Series in Data Processing Management)

PRENTICE/HALL

From the "father of the data warehouse"-Everything you need to know to keep your data warehouse up and running smoothly, efficiently, and securely Coauthored by W. H. Inmon, the man who started the data warehouse revolution, this book is written for those charged with the job of managing and administering their companies' data warehouses. Managing the Data Warehouse is a complete guide to everything information systems managers need to know to keep a data warehouse running smoothly, efficiently, and securely, now and in the years ahead. Among crucial topics covered in detail are: * Monitoring data warehouse data, operations, and performance * Managing data warehouse security * Administering metadata management * Selecting and managing end-user tools and interfaces * Data warehouse refreshment * Managing summary data * Managing data warehouse growth

Managing the Data Warehouse

Welch, J. D.

Glassey, Katherine L.

John Wiley&Sons, Inc.

Contains invaluable tips for selecting the right software tools to get the job done, 19 major themes of quality systems development, a description of data management standards and their vital role in the architecture-based setting plus organizational models for success.

Information Systems Architecture: Development in the 90's

Caplan, Jeffrey H.

Pages are crisp and clean. Binding is tight.

DB2: Maximizing Performance of Online Production Systems

QED Information Sciences

The object-oriented paradigm has come to the forefront of the research community in the software engineering, programming language, and database research areas.

Data architecture: The information paradigm

Offers superlative guidance in order to build an effective DSS/ORACLE environment that will open the possibilites for using data accumulated by operational systems.

Using ORACLE to build decision support systems

Software

About This Book Here W.H. Inmon defines the systems development guidelines and principles that ought to govern the client/server environment—what they are, how they are implemented, and what happens if they are ignored—and develops an architecture that applies across all client/server environments. Inmon provides practical solutions to help build sound and stable client/server applications. He covers performance issues, control of update, ownership vs. stewardship of data, differences between operational and decision support processing, application-by-application development vs. integration, metadata, requirements-driven vs. data-driven development, decision support processing, and more. In this revised edition, Inmon introduces important concepts such as the "pure" server environment, data warehouse, and organizational dynamics, plus a micro/macro vision of the system. About Wiley-QED Since 1971 computer professionals worldwide have looked to Wiley-QED for current, practical, and in-depth information. Our publishing program specializes in helping people solve their computer-related problems. The books you buy from Wiley-QED are written by professionals for professionals. We offer the world’s most complete library of books for people working with computers, from mainframes to workstations and PC’s. When you buy a Wiley-QED book, you hire your own personal consultant. Another Book in the Wiley-QED Professional Series From Mainframe to Workstations: Offloading Application Development by Mark A Butterline. Here is a blueprint for anyone who must determine the appropriateness of offloaded development for his or her organization, and subsequently justify, design, assemble, and operate an off-loaded environment.

Developing client/server applications

Qed Technical Pub. Group

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