Data Warehousing 2000

Author: Reinhard Jung,Robert Winter

Publisher: Birkhäuser

ISBN: 9783790813562

Category: Data warehousing

Page: 393

View: 8058

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Data Warehousing hat in den letzten Jahren in vielen Unternehmen stark an Bedeutung gewonnen und ist dabei zu einer der zentralen Herausforderungen im Informationsmanagement geworden. FA1/4r viele Anwendungen, wie beispielsweise Customer-Relationship-Management oder FA1/4hrungsinformationssysteme, bilden Data-Warehouse-Architekturen eine wesentliche Grundlage. Der Tagungsband zur Konferenz "Data Warehousing 2000 - Methoden, Anwendungen, Strategien" gibt einen Aoeberblick zum State-of-the-Art sowohl im Bereich Entwicklung aus technischer und organisatorischer bzw. betriebswirtschaftlicher Sicht als auch im Bereich der vielfAltigen AnwendungsmAglichkeiten einer Data-Warehouse-Architektur. Neben AufsAtzen aus dem wissenschaftlichen Bereich finden sich auch Berichte aus laufenden und abgeschlossenen Projekten im Umfeld des Data Warehousing.
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Data Warehouse

From Architecture to Implementation

Author: Barry Devlin

Publisher: Addison-Wesley Professional

ISBN: 9780201964257

Category: Computers

Page: 432

View: 7916

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Data warehousing is one of the hottest topics in the computing industry. Written by Barry Devlin, one of the world's leading experts on data warehousing, this book gives you the insights and experiences gained over 10 years and offers the most comprehensive, practical guide to designing, building, and implementing a successful data warehouse. Included in this vital information is an explanation of the optimal three-tiered architecture for the data warehouse, with a clear division between data and information. Information systems managers will appreciate the full description of the functions needed to implement such an architecture, including reconciling existing, diverse data and deriving consistent, valuable business information.
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The Data Warehousing Handbook

Author: Rob Mattison

Publisher: Lulu.com

ISBN: 1847286658

Category: Computers

Page: 440

View: 6241

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Mattison explains what data warehouses are and how they work, key concepts of business reengineering, client/server technology, systems architecture, OLAP, DSS, and much more.
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Data Warehousing Fundamentals

A Comprehensive Guide for IT Professionals

Author: Paulraj Ponniah

Publisher: John Wiley & Sons

ISBN: 0471463892

Category: Computers

Page: 544

View: 4481

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Geared to IT professionals eager to get into the all-importantfield of data warehousing, this book explores all topics needed bythose who design and implement data warehouses. Readers will learnabout planning requirements, architecture, infrastructure, datapreparation, information delivery, implementation, and maintenance.They'll also find a wealth of industry examples garnered from theauthor's 25 years of experience in designing and implementingdatabases and data warehouse applications for majorcorporations. Market: IT Professionals, Consultants.
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Data Warehousing

Using the Wal-Mart Model

Author: Paul Westerman

Publisher: Morgan Kaufmann

ISBN: 9781558606845

Category: Computers

Page: 297

View: 5859

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Data Warehousing: Using the Wal-Mart Model is a practical guide to both the business and technical aspects of building a data warehouse for storing and accessing data in a strategically useful way. As its title suggests, it examines the development of the world's largest, most famous, and most ambitious commercial database. Westerman draws on this extensive, continuous example to teach readers the general principles and specific techniques needed to be a valuable part of their organisation's own data warehouse project, however large or small. What further sets it apart is its focus on the data.
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Data Warehousing and Data Mining Techniques for Cyber Security

Author: Anoop Singhal

Publisher: Springer Science & Business Media

ISBN: 0387476539

Category: Computers

Page: 159

View: 8678

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The application of data warehousing and data mining techniques to computer security is an important emerging area, as information processing and internet accessibility costs decline and more and more organizations become vulnerable to cyber attacks. These security breaches include attacks on single computers, computer networks, wireless networks, databases, or authentication compromises. This book describes data warehousing and data mining techniques that can be used to detect attacks. It is designed to be a useful handbook for practitioners and researchers in industry, and is also suitable as a text for advanced-level students in computer science.
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Data Warehousing

The Ultimate Guide to Building Corporate Business Intelligence

Author: N.A

Publisher: Springer Science & Business Media

ISBN: 9783528057534

Category: Technology & Engineering

Page: 336

View: 2142

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Rapid access to information is a prime requirement in any organization that wants to have a competitive edge in today's fast changing markets. How to retrieve information? How to capture data? How to format it? The answer lies in Data Warehousing. This HOTT Guide will give you access to all the essential information about the newest data storehouse: through articles by expert trendwachters on strategic considerations, how-to reports defining the various ways to extract the data needed for critical business decisions, technical papers clarifying technologies and tools, business cases and key concepts that will provide the reader with a comprehensive overview of a business solution that is already indispensable.
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DW 2.0: The Architecture for the Next Generation of Data Warehousing

Author: W.H. Inmon,Derek Strauss,Genia Neushloss

Publisher: Elsevier

ISBN: 9780080558332

Category: Computers

Page: 400

View: 4843

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DW 2.0: The Architecture for the Next Generation of Data Warehousing 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 that is technologically possible today, 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. This allows people who are building or using a data warehouse to see what lies ahead and 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. This book gives experienced data warehouse professionals everything they need in order to implement the new generation DW 2.0. It is designed for professionals in the IT organization, including data architects, DBAs, systems design and development professionals, as well as data warehouse and knowledge management professionals. * First book on the new generation of data warehouse architecture, DW 2.0. * Written by the "father of the data warehouse", Bill Inmon, a columnist and newsletter editor of The Bill Inmon Channel on the Business Intelligence Network. * Long overdue comprehensive coverage of the implementation of technology and tools that enable the new generation of the DW: metadata, temporal data, ETL, unstructured data, and data quality control.
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Data Warehousing Fundamentals for IT Professionals

Author: Paulraj Ponniah

Publisher: John Wiley & Sons

ISBN: 1118211308

Category: Computers

Page: 608

View: 7494

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Cutting-edge content and guidance from a data warehousing expert—now expanded to reflect field trends Data warehousing has revolutionized the way businesses in a wide variety of industries perform analysis and make strategic decisions. Since the first edition of Data Warehousing Fundamentals, numerous enterprises have implemented data warehouse systems and reaped enormous benefits. Many more are in the process of doing so. Now, this new, revised edition covers the essential fundamentals of data warehousing and business intelligence as well as significant recent trends in the field. The author provides an enhanced, comprehensive overview of data warehousing together with in-depth explanations of critical issues in planning, design, deployment, and ongoing maintenance. IT professionals eager to get into the field will gain a clear understanding of techniques for data extraction from source systems, data cleansing, data transformations, data warehouse architecture and infrastructure, and the various methods for information delivery. This practical Second Edition highlights the areas of data warehousing and business intelligence where high-impact technological progress has been made. Discussions on developments include data marts, real-time information delivery, data visualization, requirements gathering methods, multi-tier architecture, OLAP applications, Web clickstream analysis, data warehouse appliances, and data mining techniques. The book also contains review questions and exercises for each chapter, appropriate for self-study or classroom work, industry examples of real-world situations, and several appendices with valuable information. Specifically written for professionals responsible for designing, implementing, or maintaining data warehousing systems, Data Warehousing Fundamentals presents agile, thorough, and systematic development principles for the IT professional and anyone working or researching in information management.
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Data Warehousing and Knowledge Discovery

8th International Conference, DaWaK 2006, Krakow, Poland, September 4-8, 2006, Proceedings

Author: A Min Tjoa

Publisher: Springer Science & Business Media

ISBN: 3540377360

Category: Business & Economics

Page: 578

View: 3085

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This book constitutes the refereed proceedings of the 8th International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2006, held in Krakow, Poland in September 2006 in conjunction with DEXA 2006. The 53 revised full papers presented were carefully reviewed and selected from 198 submissions. The papers are organized in topical sections on ETL processing, materialized view, multidimensional design, OLAP and multidimensional model, cubes processing, data warehouse applications, mining techniques, frequent itemsets, mining data streams, ontology-based mining, clustering, advanced mining techniques, association rules, miscellaneous applications, and classification.
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