Data Warehousing Fundamentals: A Comprehensive Guide for IT ProfessionalsEine Einführung in das Data Warehousing - speziell für IT-Fachleute, die sich in dieses Gebiet einarbeiten wollen. Behandelt werden alle wichtigen Themen wie Planung, Systemvoraussetzungen, Architektur, Infrastruktur, Design, Datenaufbereitung, Implementation und Wartung. Der Stoff wird anhand zahlreicher Beispiele, Fallstudien aus der Industrie und Übungsaufgaben anschaulich und nachvollziehbar dargestellt. Autor Paulraj Ponniah verfügt über 25 Jahre Erfahrung in Design und Implementation von Datenbanken und Data Warehousing Anwendungen. Er hat u.a. so namhafte Unternehmen wie Texaco, Sotheby's, Blue Cross/Blue Shield, NA Philips und Bantam-Doubleday-Dell betreut. "Data Warehousing Fundamentals" - ein topaktuelles Buch zu einem brisanten Thema. |
From inside the book
Page 2
... operational systems, important as they were, could not provide strategic information. Businesses, therefore, were compelled to turn to new ways of getting strategic information. Data warehousing is a new paradigm specifically intended ...
... operational systems, important as they were, could not provide strategic information. Businesses, therefore, were compelled to turn to new ways of getting strategic information. Data warehousing is a new paradigm specifically intended ...
Page 4
... operations, but hardly amenable for use in making decisions about business strategies and objectives. Why is this so? First, the data of an enterprise is spread across many types of incompatible structures and systems. Your order ...
... operations, but hardly amenable for use in making decisions about business strategies and objectives. Why is this so? First, the data of an enterprise is spread across many types of incompatible structures and systems. Your order ...
Page 9
... OPERATIONAL VERSUS DECISION-SUPPORT SYSTEMS What is a basic reason for the failure of all the previous attempts by IT to provide strategic information ... SYSTEMS 9 Inability to Provide Information Operational Versus Decision-Support Systems.
... OPERATIONAL VERSUS DECISION-SUPPORT SYSTEMS What is a basic reason for the failure of all the previous attempts by IT to provide strategic information ... SYSTEMS 9 Inability to Provide Information Operational Versus Decision-Support Systems.
Page 10
... systems. Only specially designed decision support systems or informational systems can provide strategic information. Let us understand why. Making the Wheels of Business Turn Operational systems are online transaction processing (OLTP) ...
... systems. Only specially designed decision support systems or informational systems can provide strategic information. Let us understand why. Making the Wheels of Business Turn Operational systems are online transaction processing (OLTP) ...
Page 11
... systems. Figure 1-7 summarizes the differences between the traditional operational systems and Figure 1-7 Operational and informational systems. DATA WAREHOUSING—THE ONLY VIABLE SOLUTION At this stage of our. Get the information out K ...
... systems. Figure 1-7 summarizes the differences between the traditional operational systems and Figure 1-7 Operational and informational systems. DATA WAREHOUSING—THE ONLY VIABLE SOLUTION At this stage of our. Get the information out K ...
Contents
1 | |
Part 2 PLANNING AND REQUIREMENTS | 63 |
Part 3 ARCHITECTURE AND INFRASTRUCTURE | 127 |
Part 4 DATA DESIGN AND DATA PREPARATION | 203 |
Part 5 INFORMATION ACCESS AND DELIVERY | 315 |
Part 6 IMPLEMENTATION AND MAINTENANCE | 429 |
Appendix A Project Life Cycle Steps and Checklists | 493 |
Appendix B Critical Factors for Success | 497 |
Appendix C Guidelines for Evaluating Vendor Solutions | 499 |
References | 501 |
Glossary | 503 |
Index | 511 |
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Data Warehousing Fundamentals: A Comprehensive Guide for IT Professionals Paulraj Ponniah No preview available - 2004 |
Common terms and phrases
aggregate algorithms analysis applications architectural components attributes business dimensions capture changes chapter columns complex create data cleansing data elements data extraction data loading data marts data mining data model data quality data sources data staging data storage data structures data transformation data warehouse environment data warehouse project data warehousing database DBMS deployment dimension table dimensional model end-users enterprise example fact table Figure files functions hardware incremental loads integrated interface marketing MDDBs methods metrics MOLAP multidimensional OLAP system OLTP online analytical processing operational systems options package diagrams performance pilot platform predefined primary key product dimension programs project team queries and reports records relational requirements definition ROLAP selection server source data source systems specific staging area standards STAR schema summary techniques tion transaction types users values vendors ware Web-enabled data warehouse
Popular passages
Page 349 - Processing (OLAP) is a category of software technology that enables analysts, managers, and executives to gain insight into data through fast, consistent, interactive access to a wide variety of possible views of information that has been transformed from raw data to reflect the real dimensionality of the enterprise as understood by the user.
Page 18 - Inmon identified four characteristics of a data warehouse, which are represented in his formal definition: "... a data warehouse is a subject oriented, integrated, non-volatile and time variant collection of data in support of management's decisions.
Page 412 - Trees are normally drawn upside down, with the root at the top and the leaves at the bottom.
Page 501 - Kimball, Ralph, and Richard Merz. The Data Webhouse Toolkit: Building the WebEnabled Data Warehouse. New York: John Wiley & Sons, 2000.
Page 500 - Discovering Data Mining: From Concept to Implementation, Upper Saddle River, NJ: Prentice-Hall PTR, 1998.
Page 53 - It completes the process by providing users with knowledge to use the right information, at the right time, and at the right place.
Page 501 - Managing the Data Warehouse: Practical Techniques for Monitoring Operations and Performances, Administering Data and Tools, Managing Change and Growth, New York: Wiley, 1997.
Page 465 - ... but be careful not to bite off more than you can chew.
Page 5 - Web-enabled analysis tools enables merchants to gain insights into their customer base, manage inventories more tightly, and keep the right products in front of the right people at the right place at the right time.