thTHOUGHT LEADER & AUTHOR
Bill Inmon
Best known as the “Father of Data Warehousing”
Bill Inmon has become the most prolific and well-known author worldwide in the big data analysis, data warehousing and business intelligence arena. In addition to authoring more than 60 books and 1,000s of articles throughout his career, Bill has been a monthly columnist with the Business Intelligence Network, EIM Institute and Data Management Review. In 2007, Bill was named by Computerworld as one of the “Ten IT People Who Mattered in the Last 40 Years” of the computer profession. Having 40+ years of experience in database technology and data warehouse design, he is known globally for his seminars on developing data warehouses and information architectures.
He has worked for American Management Systems and Coopers & Lybrand. Bill received his Bachelor of Science degree in Mathematics from Yale University, and his Master of Science degree in Computer Science from New Mexico State University. He makes his home in Colorado.
Bill’s Books Available at Amazon
This is a list of the books available online – Get yours today.
Building the Data Warehouse
The new edition of the classic bestseller that launched thedata warehousing industry covers new approaches and technologies,many of which have been pioneered by Inmon himself
Data Modeling Made Simple:
A Practical Guide for Business and IT Professionals
Data Modeling Made Simple will provide you with a practical working knowledge of data modeling concepts and best practices.
Data Lake Architecture:
Designing the Data Lake and Avoiding the Garbage Dump
Data Modeling Made Simple will provide you with a practical working knowledge of data modeling concepts and best practices.
Hearing the Voice of the Customer
Where is the voice of the customer heard? How does the corporation find and capture the voice of the customer? How is the voice of the customer actually interpreted and understood?
Data Architecture:
A Primer for the Data Scientist: Big Data, Data Warehouse and Data Vault
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.
Turning Text into Gold
In our distant past, we attempted to create wealth by turning everyday substances into gold. This was early alchemy, and ultimately it did not work. But the world has changed. In this book, Bill Inmon will introduce you to the concept of taxonomies and how they are used
Turning Spreadsheets into Corporate Data
For years, business users have leveraged spreadsheets for storing and communicating data. Although spreadsheets may be easy to create and update, making important corporate decisions based on spreadsheets is risky
Tapping into Unstructured Data:
Integrating Unstructured Data and Textual Analytics into Business Intelligence
A wealth of invaluable information exists in unstructured textual form, but organizations have found it difficult or impossible to access and utilize it.
DW 2.0:
The Architecture for the Next Generation of Data Warehousing
This is the first book on the new generation of data warehouse architecture, DW 2.0, by the father of the data warehouse. The book describes the future of data warehousing
Building the Unstructured Data Warehouse
Learn essential techniques from data warehouse legend Bill Inmon on how to build the reporting environment your business needs now! Answers for many valuable business questions hide in text.
Business Metadata:
Capturing Enterprise Knowledge
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.
Corporate Information Factory
Today’s corporate IT and data warehouse managers are required to make a small army of technologies work together to ensure fast and accurate information for business managers.
Building the Operational Data Store
Still the only guide on the subject, this revised and expanded edition of Bill Inmon’s classic goes beyond the theory of the first edition to provide detailed, practical guidance on designing, building, managing, and getting the most of an ODS.
Preventing Litigation:
Integrating Unstructured Data and Textual Analytics into Business Intelligence
Preventing Litigation, for the first time, explains how to build an early warning system to identify the risk of litigation before the damage is done, and proves that there is big value in less litigation.
The Data Model Resource Book:
A Library of Logical Data Models and Data Warehouse Designs
This book provides a common set of data models for specific functions common to most businesses, such as sales, marketing, order processing, contracts, shipments, invoicing, work efforts, budgeting, and accounting.
Mastering the SAP Business Information Warehouse:
Leveraging the Business Intelligence Capabilities of SAP NetWeaver
This book is the definitive guide for SAP NetWeaver BI professionals.
Using the Data Warehouse
This book describes how to use a data warehouse once it has been constructed. The authors discuss how to use information to capture and maintain a competitive advantage and how to migrate legacy systems to a data warehouse.
Data Stores, Data Warehousing, and the Zachman Framework:
Managing Enterprise Knowledge
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.
Exploration Warehousing:
Turning Business Information into Business Opportunity
A revolutionary new approach to unearthing business opportunities, from the father of the data warehouse. An introduction to exploration warehousing, an innovative new approach to finding business opportunities hidden in patterns of data.
Database Design:
Know it All
This book brings all of the elements of database design together in a single volume, saving the reader the time and expense of making multiple purchases. It consolidates both introductory and advanced topics, thereby covering the gamut of database design methodology ? from ER and UML techniques, to conceptual data modeling
An Introduction to the Government Information Factory
An architectural framework that identifies all the architectural needs for information processing for a government agency.
Book Archive
Visit Bill Inmon’s Amazon Archive to view earlier editions
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