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
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Page 4
... relational tables. The data in a corporation resides in various disparate systems, multiple platforms, and diverse structures. The more technology your company has used in the past, the more disparate the data of your company will be ...
... relational tables. The data in a corporation resides in various disparate systems, multiple platforms, and diverse structures. The more technology your company has used in the past, the more disparate the data of your company will be ...
Page 31
... relational database systems. Some data may be on other legacy network and hierarchical data models. Many data sources may still be in flat files. You may want to include data from spreadsheets and local departmental data sets. Data ...
... relational database systems. Some data may be on other legacy network and hierarchical data models. Many data sources may still be in flat files. You may want to include data from spreadsheets and local departmental data sets. Data ...
Page 32
... relational database, or a combination of both. Data Transformation. In every system implementation, data conversion is an important function. For example, when you implement an operational system such as a magazine subscription ...
... relational database, or a combination of both. Data Transformation. In every system implementation, data conversion is an important function. For example, when you implement an operational system such as a magazine subscription ...
Page 34
... relational database management systems. Many of the data warehouses also employ multidimensional database management systems. Data extracted from the data warehouse storage is aggregated in many ways and the summary data is kept in the ...
... relational database management systems. Many of the data warehouses also employ multidimensional database management systems. Data extracted from the data warehouse storage is aggregated in many ways and the summary data is kept in the ...
Page 44
... Relational DBs (9) Specialized Indexed DBs (5) Multidimensional DBs (16) Decision Support Relational OLAP (9) Administration & Management Metadata Management (14) Monitoring (5) Job Scheduling (2) Query Governing (3) Systems Management ...
... Relational DBs (9) Specialized Indexed DBs (5) Multidimensional DBs (16) Decision Support Relational OLAP (9) Administration & Management Metadata Management (14) Monitoring (5) Job Scheduling (2) Query Governing (3) Systems Management ...
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.