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. |
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Page xx
... Program 482 1 2 Delivering the Training Program 484 1 2 User Support 485 Managing the Data Warehouse 487 1 2 Platform Upgrades 487 1 2 Managing Data Growth 488 1 2 Storage Management 488 1 2 ETL Management 489 1 2 Data Model Revisions ...
... Program 482 1 2 Delivering the Training Program 484 1 2 User Support 485 Managing the Data Warehouse 487 1 2 Platform Upgrades 487 1 2 Managing Data Growth 488 1 2 Storage Management 488 1 2 ETL Management 489 1 2 Data Model Revisions ...
Page 6
... programs are realized, resulting in a 22% decrease in emergency room visits, 29% decrease in hospital admissions for asthmatic children, potentially sightsaving screenings for hundreds of diabetics, improved vaccination rates, and more ...
... programs are realized, resulting in a 22% decrease in emergency room visits, 29% decrease in hospital admissions for asthmatic children, potentially sightsaving screenings for hundreds of diabetics, improved vaccination rates, and more ...
Page 7
... programs to create intermediary files that could be used to produce the ad hoc reports. Most of these attempts by IT in the past ended in failure. The users could not clearly define what they wanted in the first place. Once they saw the ...
... programs to create intermediary files that could be used to produce the ad hoc reports. Most of these attempts by IT in the past ended in failure. The users could not clearly define what they wanted in the first place. Once they saw the ...
Page 8
... programs, typically one for each request, and produce the ad hoc reports. Special Extract Programs. This stage was an attempt by IT to anticipate somewhat the types of reports that would be requested from time to time. IT would write a ...
... programs, typically one for each request, and produce the ad hoc reports. Special Extract Programs. This stage was an attempt by IT to anticipate somewhat the types of reports that would be requested from time to time. IT would write a ...
Page 16
... programs I. for day-to-day operations 10. information technology J. simple, easy to use 2. The current trends in hardware/software technology make data warehousing feasible. Explain via some examples how exactly technology trends do ...
... programs I. for day-to-day operations 10. information technology J. simple, easy to use 2. The current trends in hardware/software technology make data warehousing feasible. Explain via some examples how exactly technology trends do ...
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.