|Statement||Vidette Poe, Patricia Klauer, and Stephen Brobst.|
|Contributions||Klauer, Patricia., Brobst, Stephen.|
|LC Classifications||T58.62 .P63 1998|
|The Physical Object|
|Pagination||xli, 285 p. :|
|Number of Pages||285|
|LC Control Number||98104050|
The Data from the Source Systems Is Integrated before Being Loaded into the Data Warehouse. The Data Warehouse Is a Separate Read-Only Database Designed Specifically for Decision Support. Users Access the Data Warehouse via a Front End Tool or Application. Expanding the Generic Data Warehouse Architecture. The new edition of the classic bestseller that launched the data warehousing industry covers new approaches and technologies, many of which have been pioneered by Inmon himself In addition to explaining the fundamentals of data warehouse systems, the book covers new topics such as methods for handling unstructured data in a data warehouse and storing data across multiple storage media. In computing, a data warehouse (DW or DWH), also known as an enterprise data warehouse (EDW), is a system used for reporting and data analysis, and is considered a core component of business intelligence. DWs are central repositories of integrated data from one or more disparate sources. They store current and historical data in one single place that are used for creating analytical reports. The data warehousing bible updated for the new millennium Updated and expanded to reflect the many technological advances occurring since the previous edition, this latest edition of the data warehousing "bible" provides a comprehensive introduction to building data marts, operational data stores, the Corporate Information Factory, exploration warehouses, and Web-enabled warehouses.
data warehousing, explains how data warehouse technologies are used and basic data warehouse concepts. The excerpt also defines decision support systems (DSS) as well as describes what data warehousing and what a data warehouse is. Table of contents: An introduction to data warehousing Data warehouse architectures, concepts and phases. Beginning with the basics, this book covers the difference between operational and analytical processing; architecture and infrastructure for the data warehouse, and examples of how they are currently being implemented within corporations; and the Decision Support Life Cycle - from gathering requirements, modeling the data, and designing the database to application development, staff training. When the first edition of Building the Data Warehousewas printed, the data-base theorists scoffed at the notion of the data warehouse. One theoretician stated that data warehousing set back the information technology industry 20 years. Another stated that the founder of data warehousing should not be allowed to speak in public. The new edition of the classic bestseller that launched the data warehousing industry covers new approaches and technologies, many of which have been pioneered by Inmon himself In addition to explaining the fundamentals of data warehouse systems, the book covers new topics such as methods for handling unstructured data in a data warehouse and storing data across multiple .
Decision Support in the Data Warehouse demystifies data warehousing's technical jargon and provides a complete framework for building, maintaining, and using a data warehouse for decision support. This is the first book that integrates building and operating a data warehouse; developing decision support applications using the warehouse; and. Five Stages of Data Warehouse Decision Support Evolution. Active data warehousing provides tactical and strategic decision support. by Stephen Brobst and Joe Rarey. Data warehousing is a journey. The most successful data warehouse implementations deliver . Building a Data Warehouse for Decision Support [Vidette Poe, Laura L. Reeves] on *FREE* shipping on qualifying offers. for providing data for decision-making performed by business managers. This fact has dramatically affected the role of enterprise databases and fostered the introduction of decision support systems. The concept of decision support systems mainly evolved from two research fields: theoretical studies on decision-making processes for organizations and.