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 4
... tion technology resources and systems are not effective at turning all that data into useful strategic information . Over the past two decades , companies have accumulated tons and tons of data about their operations . Mountains of data ...
... tion technology resources and systems are not effective at turning all that data into useful strategic information . Over the past two decades , companies have accumulated tons and tons of data about their operations . Mountains of data ...
Page 272
... tion just entails field conversions and some reformatting of the data structures . Do not make the mistake of taking the data transformation functions too lightly . Be prepared to consider all the different issues and allocate ...
... tion just entails field conversions and some reformatting of the data structures . Do not make the mistake of taking the data transformation functions too lightly . Be prepared to consider all the different issues and allocate ...
Page 450
... tion in a table may have distinct physical attributes , but all partitions of the table have the same logical attributes . What are the criteria for splitting a table into partitions ? You can split a large table verti- cally or ...
... tion in a table may have distinct physical attributes , but all partitions of the table have the same logical attributes . What are the criteria for splitting a table into partitions ? You can split a large table verti- cally or ...
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