Data Warehousing Fundamentals: A Comprehensive Guide for IT ProfessionalsGeared to IT professionals eager to get into the all-important field of data warehousing, this book explores all topics needed by those who design and implement data warehouses. Readers will learn about planning requirements, architecture, infrastructure, data preparation, information delivery, implementation, and maintenance. They'll also find a wealth of industry examples garnered from the author's 25 years of experience in designing and implementing databases and data warehouse applications for major corporations. Market: IT Professionals, Consultants. |
From inside the book
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Page 29
This category of data comes from the various operational systems of the
enterprise . Based on the information requirements in the data warehouse , you
choose segments of data from the different operational systems . While dealing
with this ...
This category of data comes from the various operational systems of the
enterprise . Based on the information requirements in the data warehouse , you
choose segments of data from the different operational systems . While dealing
with this ...
Page 316
You must have worked on different types of operational systems that provide
information to users . The users in enterprises make use of the information from
the operational systems to perform their day - to - day work and run the business .
You must have worked on different types of operational systems that provide
information to users . The users in enterprises make use of the information from
the operational systems to perform their day - to - day work and run the business .
Page 317
The users may impact the performance of the system adversely with runaway
queries . Another important point is that the users of operational systems do not
exactly know the contents of the databases and metadata or data dictionary
entries ...
The users may impact the performance of the system adversely with runaway
queries . Another important point is that the users of operational systems do not
exactly know the contents of the databases and metadata or data dictionary
entries ...
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Contents
The Compelling Need for Data Warehousing | 1 |
The Building Blocks | 19 |
Planning and Project Management | 63 |
Copyright | |
14 other sections not shown
Other editions - View all
Data Warehousing Fundamentals: A Comprehensive Guide for IT Professionals Paulraj Ponniah Limited preview - 2004 |
Data Warehousing Fundamentals: A Comprehensive Guide for IT Professionals Paulraj Ponniah No preview available - 2004 |
Common terms and phrases
able aggregate analysis applications approach architecture attributes build changes chapter cleansing columns complex components consider contain costs create data extraction data marts data mining data quality data structures data transformation data warehouse data warehousing database decision definition dimension table discuss environment example executive fact table Figure files functions important individual information delivery initial integrated load look major marketing metadata methods month Name OLAP operational systems options performance physical platform problem queries records relational reports represent requirements rows schema selection shows single source systems specific standards STAR step storage strategic structures summary techniques tion types users values various vendors ware