WorldCat Identities

Inmon, William H.

Overview
Works: 108 works in 551 publications in 8 languages and 13,672 library holdings
Roles: Author, Contributor, Other
Classifications: QA76.9.D3, 005.74
Publication Timeline
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Most widely held works by William H Inmon
Building the data warehouse by William H Inmon( Book )

72 editions published between 1992 and 2011 in English and Dutch and held by 1,094 WorldCat member libraries worldwide

The data warehouse solves the problem of getting information out of legacy systems quickly and efficiently. If designed and built right, data warehouses can provide significant freedom of access to data, thereby delivering enormous benefits to any organization. In this unique handbook, W.H. Inmon, "the father of the data warehouse," provides detailed discussion and analysis of all major issues related to the design and construction of the data warehouse, including
Effective data base design by William H Inmon( Book )

12 editions published between 1981 and 1986 in English and Undetermined and held by 469 WorldCat member libraries worldwide

Corporate information factory by William H Inmon( Book )

26 editions published between 1997 and 2002 in English and Undetermined and held by 440 WorldCat member libraries worldwide

From traditional data warehousing to data marts and operational data stores, a dizzying array of architectures and tools are now available to help enterprises strategically use and manage information. Each has its unique costs and benefits associated with delivering value to the business. But, despite all the hype, not all solutions are equally well suited to every company's needs. In Corporate Information Factory, Bill Inmon, Claudia Imhoff, and Ryan Sousa introduce a practical and proven framework that shows companies how to leverage these solutions to build a company-wide information ecosystem
Developing client/server applications by William H Inmon( Book )

29 editions published between 1991 and 1993 in 4 languages and held by 439 WorldCat member libraries worldwide

Building the operational data store by William H Inmon( Book )

19 editions published between 1996 and 1999 in English and held by 311 WorldCat member libraries worldwide

This study identifies operational data stores and analyzes the differences between the data warehouse and the operational data store. It discusses why the operational data store concept is crucial in relation to decision-making and executive systems data
Technomics : the economics of technology and the computer industry by William H Inmon( Book )

4 editions published in 1986 in English and held by 259 WorldCat member libraries worldwide

Data architecture : the information paradigm by William H Inmon( Book )

13 editions published between 1989 and 1992 in English and held by 259 WorldCat member libraries worldwide

Integrating data processing systems : in theory and in practice by William H Inmon( Book )

5 editions published in 1984 in English and Undetermined and held by 255 WorldCat member libraries worldwide

Design review methodology for a data base environment by William H Inmon( Book )

7 editions published between 1982 and 1986 in English and Russian and held by 252 WorldCat member libraries worldwide

Management control of data processing : preventing management-by-crisis by William H Inmon( Book )

7 editions published between 1982 and 1983 in English and held by 248 WorldCat member libraries worldwide

The dynamics of data base by William H Inmon( Book )

12 editions published in 1986 in English and held by 242 WorldCat member libraries worldwide

Data warehouse performance by William H Inmon( Book )

16 editions published between 1998 and 2002 in 3 languages and held by 221 WorldCat member libraries worldwide

This book tells you what you need to know to design, build, and manage data warehouses and data marts for optimum performance. Written by an all-star team of data warehouse pioneers and innovators - including Bill Inmon, "the father of the data warehouse," and Ken Rudin, one of the leading experts on performance - the book describes the layers of a high-performance data warehouse environment and guides the reader through their implementation and management. It also supplies proven techniques for supercharging the performance of existing environments
Exploration warehousing : turning business information into business opportunity by William H Inmon( Book )

9 editions published in 2000 in English and Undetermined and held by 219 WorldCat member libraries worldwide

"Let Bill Inmon, along with Robert Terdeman and Claudia Imhoff, introduce you to exploration warehousing, an innovative new approach to finding business opportunities hidden in patterns of data. In this book, they explain the exploration process and identify the types of data-warehouse designs best suited for exploration. They then outline the steps that must be followed in order to turn data into a competitive advantage." "Using numerous case examples, the authors describe original exploration techniques and demonstrate how IT managers can work together with business managers to identify significant value in the data. These patterns can reveal opportunities in the marketplace for new products and services, when to discontinue products and services, where to streamline operations, and much more. To verify the strength and accuracy of these patterns, they show you how to use exploration with data mining techniques to assure business value."--Jacket
Managing the data warehouse by William H Inmon( Book )

15 editions published between 1997 and 1998 in English and Dutch and held by 218 WorldCat member libraries worldwide

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
Data warehousing for e-business by William H Inmon( Book )

10 editions published between 2001 and 2004 in English and Chinese and held by 211 WorldCat member libraries worldwide

This title seeks to show how to build data warehouses using a proven architecture: the Corporate Information Factory, and how to leverage the features of this architecture to meet the high-performance needs of data-intensive Web sites. It describes in detail how each component of the Corporate Information Factory relates to specific Web technologies and how they can be harnessed to support e-business strategies
Using the data warehouse by William H Inmon( Book )

14 editions published between 1994 and 1997 in English and Japanese and held by 202 WorldCat member libraries worldwide

Tapping into unstructured data : integrating unstructured data and textual analytics into business intelligence by William H Inmon( Book )

14 editions published between 2007 and 2008 in English and Undetermined and held by 174 WorldCat member libraries worldwide

Business metadata : capturing enterprise knowledge by William H Inmon( Book )

19 editions published between 2007 and 2008 in English and Undetermined and held by 167 WorldCat member libraries worldwide

People have a hard time communicating, and also have a hard time finding business knowledge in the environment. With the sophistication of search technologies like Google, business people expect to be able to get their questions answered about the business just like you can do an internet search. The truth is, knowledge management is primitive today, and it is due to the fact that we have poor business metadata management. This book is about all the groundwork necessary for IT to really support the business properly. By providing not just data, but the context behind the data. For the IT professional, it will be tactically practical--very "how to" and a detailed approach to implementing best practices supporting knowledge management. And for the IT or other manager who needs a guide for creating and justifying projects, it will help provide a strategic map
DW 2.0 : the architecture for the next generation of data warehousing by William H Inmon( Book )

26 editions published between 2008 and 2010 in 4 languages and held by 157 WorldCat member libraries worldwide

There are many kinds of data warehouses, in large part due to evolution and different paths of software and hardware vendors. But DW 2.0, defined by this author in many talks, articles, and his b-eye-network newsletter that reaches 65,000 professionals monthly, is the well-identified and defined next generation data warehouse. The book carries that theme and describes the future of data warehousing that is technologically possible now, at both an architectural level and technology level. The perspective of the book is from the top down: looking at the overall architecture and then delving into the issues underlying the components. The benefit of this for people who are building or using a data warehouse can see what lies ahead, and can determine: what new technology to buy, how to plan extensions to the data warehouse, what can be salvaged from the current system, and how to justify the expense--at the most practical level
Data architecture : a primer for the data scientist : big data, data warehouse and data vault by William H Inmon( Book )

17 editions published between 2014 and 2015 in English and held by 65 WorldCat member libraries worldwide

Today, the world is trying to create and educate data scientists because of the phenomenon of Big Data. And everyone is looking deeply into this technology. But no one is looking at the larger architectural picture of how Big Data needs to fit within the existing systems (data warehousing systems). Taking a look at the larger picture into which Big Data fits gives the data scientist the necessary context for how pieces of the puzzle should fit together. Most references on Big Data look at only one tiny part of a much larger whole. Until data gathered can be put into an existing framework or architecture it can't be used to its full potential. Data Architecture a Primer for the Data Scientist addresses the larger architectural picture of how Big Data fits with the existing information infrastructure, an essential topic for the data scientist. Drawing upon years of practical experience and using numerous examples and an easy to understand framework. W.H. Inmon, and Daniel Linstedt define the importance of data architecture and how it can be used effectively to harness big data within existing systems. You'll be able to: Turn textual information into a form that can be analyzed by standard tools. Make the connection between analytics and Big DataUnderstand how Big Data fits within an existing systems environment Conduct analytics on repetitive and non-repetitive data
 
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Building the data warehouse
Alternative Names
Bill Inmon Amerikaans auteur

Bill Inmon amerikansk datavetare

Bill Inmon amerikansk informatikar

Bill Inmon amerikansk informatiker

Bill Inmon informaticien américain

Bill Inmon US-amerikanischer Informatiker

Inmon, Bill

Inmon, Bill 1945-

Inmon, U.

Inmon, U. 1945-

Inmon, W. H.

Inmon, W. H. 1945-

Inmon, W. H. (William H.)

Inmon, W. H. (William H.), 1945-

Inmon, William 1945-

William H. Inmon informatico statunitense

인먼, 빌

인먼, 윌리엄 H

インモン, ウィリアム H

Languages
Covers
Corporate information factoryDeveloping client/server applicationsBuilding the operational data storeData warehouse performanceExploration warehousing : turning business information into business opportunityManaging the data warehouseData warehousing for e-businessUsing the data warehouse