Xem 1-20 trên 70 kết quả Data warehousing
  • Data warehousing software works to manage a repository of large amount of data. It includes a series of features and functions that allow for easier reporting and analysis. IBM uses its InfoSphere Warehouse product to support data warehousing. InfoSphere Warehouse is based on the DB2 database server. Learn how to use DB2 first with DB2 Express-C, the no-charge edition of DB2!.

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  • .Professional SQL Server 2000 Data Warehousing with Analysis Services Tony Bain Mike Benkovich Robin Dewson Sam Ferguson Christopher Graves Terrence J. Joubert Denny Lee Mark Scott Robert Skoglund Paul Turley Sakhr Younes Professional SQL Server 2000 Data Warehousing with Analysis Services

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  • IBML Data Modeling Techniques for Data Warehousing Chuck Ballard, Dirk Herreman, Don Schau, Rhonda Bell, Eunsaeng Kim, Ann Valencic International Technical Support Organization http://www.redbooks.ibm.com SG24-2238-00 ..IBML International Technical Support Organization SG24-2238-00 Data Modeling Techniques for Data Warehousing February 1998 .Take Note! Before using this information and the product it supports, be sure to read the general information in Appendix B, “Special Notices” on page 183.

    pdf216p ptng13 17-05-2012 29 4   Download

  • Chapter 1: Data Warehousing presents about Basic Concepts of data warehousing; Data warehouse architectures, Some characteristics of data warehouse data, The reconciled data layer, Data transformation, The derived data layer, The user interface.

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  • This book is intended for Information Technology (IT) professionals who have been hearing about or have been tasked to evaluate, learn or implement data warehousing technologies. Far from being just a passing fad, data warehousing technology has grown much in scale and reputation in the past few years, as evidenced by the increasing number of products, vendors, organizations, and yes, even books, devoted to the subject. Enterprises that have successfully implemented data warehouses find it strategic and often wonder how they ever managed to survive without it in the past....

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  • This two-day seminar is designed to give the student a firm conceptual understanding of the goals and techniques that are used in data warehousing. The seminar explains the concepts and techniques in plain English, and strips away all of the marketing hype to give the student a clear understanding of how to construct a data warehouse using the new technologies. The seminar begins with a historical review of data warehousing and explains the basic construction techniques for data warehousing and contrasts them with traditional online teleprocessing systems....

    pdf129p suthebeo 17-07-2012 48 15   Download

  • Aimed at helping business and IT managers clearly communicate with each other, this helpful book addresses concerns straight-on and provides practical methods to building a collaborative data warehouse . You’ll get clear explanations of the goals and objectives of each stage of the data warehouse lifecycle while learning the roles that both business managers and technicians play at each stage.

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  • Oracle Database 11g contains several major innovations in the areas of change management, fault diagnosability, performance management, Data Guard administration, storage management, and data warehousing, among other areas. Besides the database administration changes, there are significant improvements in application development–related features, including natively compiled PL/SQL code, PL/SQL inlining, and enhanced triggers.

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  • Tham khảo tài liệu 'module 1: introduction to data warehousing and olap', công nghệ thông tin, quản trị mạng phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả

    pdf48p trungha 03-09-2009 194 75   Download

  • 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.

    pdf428p ken333 07-06-2012 101 41   Download

  • Tham khảo sách 'data mining and data warehousing 274', công nghệ thông tin, kỹ thuật lập trình phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả

    pdf76p nt18102 25-05-2013 12 4   Download

  • Database Systems: Lecture 13 - Emerging Research Directions in DBs/ISs provides about Mobile Databases, Multimedia Databases, Geographic Information Systems, Bioinformatics, XML, Data Mining, Data Warehousing, Introduction to ASIS Lab.

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  • This chapter includes content: Distributed databases & client-server architectures, spatial and temporal database, multimedia databases, geographic information systems, XML, data warehousing, outsourcing database services, big data. Inviting you to refer lecture for more information.

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  • Data analysis and data mining are a subset of business intelligence, which also incorporates data warehousing, database management systems, and Online Analytical Processing. In this chapter introduce data analysis and mining with the following contents: Decision support systems, data analysis and olap, data warehousing, data mining.

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  • Decision Support Systems: Chapter 5 - Data Management includes Data, Information, Knowledge; Data collection, problems and quality; Database Management Systems in DSS; Data warehousing; OLAP; Data Mining; Data Visualization and Multidimensionality; GIS.

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  • Chapter 20 - Data analysis. Data analysis and data mining are a subset of business intelligence, which also incorporates data warehousing, database management systems, and online analytical processing. In this chapter introduce data analysis with the following contents: Decision support systems, data warehousing, data mining, classification, association rules, clustering.

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  • SQL: The Complete Reference provides an in-depth discussion of SQL fundamentals, modern SQL products, and SQL's role in trends such as data warehousing, "thin-client" architectures, and Internet-based e-commerce. This book is your one-stop...

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  • Welcome to the exciting world of Oracle databases. Oracle is widely acknowledged as the most popular database software in the world today. It finds its roots in relational database theory conceived by E. F. Codd in the 1950s, and extends those theories into an infinite variety of directions, such as data warehousing, online transaction processing, and Webenabled applications. Undoubtedly, the popularity of this software is part of the reason you are reading this book.

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  • This section describes the new features of Oracle Database 10g Release 1 (10.1) and provides pointers to additional information. New features information from previous releases is also retained to help those users migrating to the current release

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  • Oracle's goal is to make our products, services, and supporting documentation accessible to the disabled community with good usability. To that end, our documentation includes features that make information available to users of assistive technology. This documentation is available in HTML format, and contains markup to facilitate access by the disabled community. Standards will continue to evolve over time, and Oracle is actively engaged with other market-leading technology vendors to address technical obstacles so that our documentation can be accessible to all of our customers.

    pdf618p hoang3 04-11-2009 70 28   Download

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