A data warehouse is a copy of transaction data specifically structured for Querying and Analyzing and Reporting. Prefer Informatica to do the ETL process, because Informatica is more powerful in designing and building data warehouses. It can connect to several sources and targets to extract meta data from sources and targets, transform and load the data into target systems.
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All about Informatica and Datawarehousing | informaticans.blogspot.com Reviews
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A data warehouse is a copy of transaction data specifically structured for Querying and Analyzing and Reporting. Prefer Informatica to do the ETL process, because Informatica is more powerful in designing and building data warehouses. It can connect to several sources and targets to extract meta data from sources and targets, transform and load the data into target systems.
informaticans.blogspot.com
All about Informatica and Datawarehousing: What are the types of Facts?
http://informaticans.blogspot.com/2009/05/what-arethe-types-of-facts.html
All about Informatica and Datawarehousing. A data warehouse is a copy of transaction data specifically structured for Querying and Analyzing and Reporting. Prefer Informatica to do the ETL process, because Informatica is more powerful in designing and building data warehouses. It can connect to several sources and targets to extract meta data from sources and targets, transform and load the data into target systems. Tuesday, May 5, 2009. What are the types of Facts? There are three types of facts:. The p...
All about Informatica and Datawarehousing: What is incremantal aggregation?
http://informaticans.blogspot.com/2009/05/what-is-incremantal-aggregation.html
All about Informatica and Datawarehousing. A data warehouse is a copy of transaction data specifically structured for Querying and Analyzing and Reporting. Prefer Informatica to do the ETL process, because Informatica is more powerful in designing and building data warehouses. It can connect to several sources and targets to extract meta data from sources and targets, transform and load the data into target systems. Tuesday, May 5, 2009. What is incremantal aggregation? Subscribe to: Post Comments (Atom).
All about Informatica and Datawarehousing: Mapping Optimization Techniques
http://informaticans.blogspot.com/2009/05/mapping-optimization-techniques.html
All about Informatica and Datawarehousing. A data warehouse is a copy of transaction data specifically structured for Querying and Analyzing and Reporting. Prefer Informatica to do the ETL process, because Informatica is more powerful in designing and building data warehouses. It can connect to several sources and targets to extract meta data from sources and targets, transform and load the data into target systems. Tuesday, May 5, 2009. 1 . 2 . 3 . Calculate once, use many times. In lookup t...
All about Informatica and Datawarehousing: What is a Degenerated Dimension(DD)?
http://informaticans.blogspot.com/2009/05/what-is-degenerated-dimensiondd.html
All about Informatica and Datawarehousing. A data warehouse is a copy of transaction data specifically structured for Querying and Analyzing and Reporting. Prefer Informatica to do the ETL process, because Informatica is more powerful in designing and building data warehouses. It can connect to several sources and targets to extract meta data from sources and targets, transform and load the data into target systems. Tuesday, May 5, 2009. What is a Degenerated Dimension(DD)? June 9, 2011 at 12:34 PM.
All about Informatica and Datawarehousing: What is a Junk Dimension(JD)?
http://informaticans.blogspot.com/2009/05/what-is-junk-dimensionjd.html
All about Informatica and Datawarehousing. A data warehouse is a copy of transaction data specifically structured for Querying and Analyzing and Reporting. Prefer Informatica to do the ETL process, because Informatica is more powerful in designing and building data warehouses. It can connect to several sources and targets to extract meta data from sources and targets, transform and load the data into target systems. Tuesday, May 5, 2009. What is a Junk Dimension(JD)? Labels: What is a Junk Dimension(JD)?
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All about Informatica and Datawarehousing
All about Informatica and Datawarehousing. A data warehouse is a copy of transaction data specifically structured for Querying and Analyzing and Reporting. Prefer Informatica to do the ETL process, because Informatica is more powerful in designing and building data warehouses. It can connect to several sources and targets to extract meta data from sources and targets, transform and load the data into target systems. Tuesday, May 5, 2009. 1 . 2 . 3 . Calculate once, use many times. In lookup t...
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