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Author: Ramón C. Barquín Publisher: Prentice Hall ISBN: Category : Computers Languages : en Pages : 360
Book Description
When it comes to making organizations smarter, faster, and more competitive, few technologies have more promise than data warehousing. This book shows you how to translate that promise into reality.
Author: Ramón C. Barquín Publisher: Prentice Hall ISBN: Category : Computers Languages : en Pages : 360
Book Description
When it comes to making organizations smarter, faster, and more competitive, few technologies have more promise than data warehousing. This book shows you how to translate that promise into reality.
Author: W. H. Inmon Publisher: John Wiley & Sons ISBN: 0471270482 Category : Computers Languages : en Pages : 434
Book Description
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. Written by the father of the data warehouse concept, the book also reviews the unique requirements for supporting e-business and explores various ways in which the traditional data warehouse can be integrated with new technologies to provide enhanced customer service, sales, and support-both online and offline-including near-line data storage techniques.
Author: W. H. Inmon Publisher: John Wiley & Sons ISBN: 0471774235 Category : Computers Languages : en Pages : 576
Book Description
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 In addition to explaining the fundamentals of data warehousesystems, the book covers new topics such as methods for handlingunstructured data in a data warehouse and storing data acrossmultiple storage media Discusses the pros and cons of relational versusmultidimensional design and how to measure return on investment inplanning data warehouse projects Covers advanced topics, including data monitoring andtesting Although the book includes an extra 100 pages worth of valuablecontent, the price has actually been reduced from $65 to $55
Author: Vincent Rainardi Publisher: Apress ISBN: 1430205288 Category : Computers Languages : en Pages : 526
Book Description
Here is the ideal field guide for data warehousing implementation. This book first teaches you how to build a data warehouse, including defining the architecture, understanding the methodology, gathering the requirements, designing the data models, and creating the databases. Coverage then explains how to populate the data warehouse and explores how to present data to users using reports and multidimensional databases and how to use the data in the data warehouse for business intelligence, customer relationship management, and other purposes. It also details testing and how to administer data warehouse operation.
Author: Fon Silvers Publisher: CRC Press ISBN: 1420064630 Category : Computers Languages : en Pages : 328
Book Description
As it is with building a house, most of the work necessary to build a data warehouse is neither visible nor obvious when looking at the completed product. While it may be easy to plan for a data warehouse that incorporates all the right concepts, taking the steps needed to create a warehouse that is as functional and user-friendly as it is theoreti
Author: Claudia Imhoff Publisher: Wiley ISBN: 9780471319818 Category : Computers Languages : en Pages : 516
Book Description
Strategies for leveraging information technologies to improve customer relationships With E-business comes the opportunity for companies to really get to know their customers--who they are and their buying patterns. Business managers need an integrated strategy that supports customers from the moment they enter the front door--or Web site--right through to fulfillment, support, and promotion of new products and services. Along the way, IT managers need an integrated set of technologies--from Web sites to databases and data mining tools--to make all of this work. This book shows both IT and business managers how to match business strategies to the technologies needed to make them work. Claudia Imhoff helped pioneer this set of technologies, called the Corporate Information Factory (CIF). She and her coauthors take readers step-by-step through the process of using the CIF for creating a customer-focused enterprise in which the end results are increased market share and improved customer satisfaction and retention. They show how the CIF can be used to ensure accuracy, identify customer needs, tailor promotions, and more.
Author: Daniel Linstedt Publisher: Morgan Kaufmann ISBN: 0128026480 Category : Computers Languages : en Pages : 684
Book Description
The Data Vault was invented by Dan Linstedt at the U.S. Department of Defense, and the standard has been successfully applied to data warehousing projects at organizations of different sizes, from small to large-size corporations. Due to its simplified design, which is adapted from nature, the Data Vault 2.0 standard helps prevent typical data warehousing failures. "Building a Scalable Data Warehouse" covers everything one needs to know to create a scalable data warehouse end to end, including a presentation of the Data Vault modeling technique, which provides the foundations to create a technical data warehouse layer. The book discusses how to build the data warehouse incrementally using the agile Data Vault 2.0 methodology. In addition, readers will learn how to create the input layer (the stage layer) and the presentation layer (data mart) of the Data Vault 2.0 architecture including implementation best practices. Drawing upon years of practical experience and using numerous examples and an easy to understand framework, Dan Linstedt and Michael Olschimke discuss: How to load each layer using SQL Server Integration Services (SSIS), including automation of the Data Vault loading processes. Important data warehouse technologies and practices. Data Quality Services (DQS) and Master Data Services (MDS) in the context of the Data Vault architecture. Provides a complete introduction to data warehousing, applications, and the business context so readers can get-up and running fast Explains theoretical concepts and provides hands-on instruction on how to build and implement a data warehouse Demystifies data vault modeling with beginning, intermediate, and advanced techniques Discusses the advantages of the data vault approach over other techniques, also including the latest updates to Data Vault 2.0 and multiple improvements to Data Vault 1.0
Author: Paul Westerman Publisher: Morgan Kaufmann ISBN: 9781558606845 Category : Computers Languages : en Pages : 316
Book Description
What is data warehousing? -- Project planning -- Business exploration -- Business case study and ROI analysis -- Organizational integration -- Technology -- Database maintenance -- Technical construction of the Wal-Mart data warehouse -- Postimplementation of the Wal-Mart data warehouse -- Store operations sample analyses -- Merchandising sample analyses.
Author: W. H. Inmon Publisher: Wiley ISBN: 9780471328889 Category : Computers Languages : en Pages : 322
Book Description
The most comprehensive guide to building, using, and managing the operational data store. Building the Operational Data Store, Second Edition. In the five years since the publication of the first edition of this book, the operational data store has grown from an intriguing concept to an exciting reality at enterprise organizations, worldwide. 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. With the help of fascinating and instructive case studies, Inmon shares what he knows about: * How the ODS fits with the corporate information factory. * Different types of ODS and how to choose the right one for your organization. * Designing and building an ODS from scratch. * Managing and fine-tuning an ODS for peak efficiency. * ODS support technology. * The pros and cons of competing off-the-shelf ODS products. * The advantages and disadvantages of various hardware and software platforms. * Integrating the ODS with data marts. * Distributed metadata using the ODS. * Data aggregation within the ODS. * Business process reengineering and the ODS. * The role of standards in the ODS. Visit our Web site at www.wiley.com/compbooks/
Author: Ramón C. Barquín
Author: Ramón C. Barquín
Author: W. H. Inmon
Author: W. H. Inmon
Author: Vincent Rainardi
Author: Fon Silvers
Author: Claudia Imhoff
Author: Mark Humphries
Author: Daniel Linstedt
Author: Paul Westerman
Author: W. H. Inmon