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 104
... important to the users . The business units usually have documentation on the processes and procedures in those units . How do the users perform their functions ? Review in detail all the processes and procedures . You are trying to ...
... important to the users . The business units usually have documentation on the processes and procedures in those units . How do the users perform their functions ? Review in detail all the processes and procedures . You are trying to ...
Page 167
... important in a data warehouse . As you have seen from this figure , tools cover all the major functions . Data warehouse project teams write only a small part of the software in - house needed to perform these functions . Because the ...
... important in a data warehouse . As you have seen from this figure , tools cover all the major functions . Data warehouse project teams write only a small part of the software in - house needed to perform these functions . Because the ...
Page 173
... important . Further , we will look for practical methods to provide effective metadata in a data warehouse environment . WHY METADATA IS IMPORTANT Let us begin with a positive assumption . Assume that your project team has successfully ...
... important . Further , we will look for practical methods to provide effective metadata in a data warehouse environment . WHY METADATA IS IMPORTANT Let us begin with a positive assumption . Assume that your project team has successfully ...
Contents
The Compelling Need for Data Warehousing | 1 |
The Building Blocks | 19 |
Review Questions | 37 |
Copyright | |
26 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
aggregate algorithms analysis applications architecture attributes backup business dimensions changes cluster columns complex components create data cleansing data elements data extraction data loading data marts data mining data model data quality data sources data staging data structures data transformation data warehouse environment data warehouse project data warehousing database DBMS decision deployment dimension table dimensional model end-users example fact table Figure files functions incremental loads information delivery integrated interface marketing MDDB methods metrics MOLAP multidimensional OLAP system OLTP online analytical processing operational systems options package diagram performance physical model pilot platform primary key product dimension programs project team queries and reports records relational ROLAP selection server source data source systems specific staging area standards STAR schema strategic information summary techniques tion types usage users values vendors ware Web-enabled data warehouse