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Design and Development

This is the actual start of your Data Warehouse project. Following things needs to executed in this step. 1. Design a data model based on requirement analysis. It could be star schema or snowflake...

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Testing

Having a testing plan ready in advance is always advisable as it also help the development steps to test it timely. Once data warehouse is ready and ETL transformation is in place get all the...

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Deployment and Training

Development is over and testing results are quite good. There are no major bugs or issues. Data quality is good, ETL is doing its job well. Now we are ready to roll out the data warehouse for actual...

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Enhancements and Helpdesk

Once the new data warehouse is deployed and its in use. You will get lot of enhancement and change request as users will see a new system and new ideas will pop in their mind. be ready. Also make sure...

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Data Warehousing Concepts and Data Warehouse Project Lifecycle

Data Warehousing Concepts What is Data Warehouse OLTP vs OLAP : Difference What is dimensional modeling What is star schema What is snowflake schema What is slowly changing dimension SCD Type 1 SCD...

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Understanding Datamart in Datawarehousing context

Data mart can be viewed as subset of Enterprise Data warehouse specially targeted towards Business Process or subject area. The difference in Data Warehouse and Data Marts is like that of planning a...

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Data Warehousing Architecture & Components

Since we know what is data warehouse and its benefits its time to dig deeper to understand typical architecture of data warehouse and its architecture. Following diagram depicts different components of...

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Understanding Role Playing Dimension in Data Warehouse

Same dimension which plays different role to the fact is called as role playing dimension. Its generally implemented using views in dimensional modeling. e.g. Suppose there are two date entities in...

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Understanding OLAP and Type of OLAP

Online analytical processing is the capability to store and manage data in such a way the it can be used to generate actionable information which can be useful in decision making. As per BI...

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Fast changing dimension and how to handle it in data warehouse system

A dimensions is said to fast changing or rapidly changing dimensions if one or more of its attributes changes very fast and in many rows. e.g. Consider a Employee dimensions where there are 1000 rows...

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