Data Warehouse Architecture

Data Warehouse can be designed in different ways, its all depend on the business requirement. Data warehouse mainly used for DSS (Decision support system).

The main purpose of the data warehouse is to design data with fastest retrieval speed.

High level management can't take decision by seeing transactional report, so they need BI product for analysis consolidated report, this is the main reason for using data warehouse.

Data Warehouse Architecture

Compounds of Data warehouse architecture

Source system :

The source system maybe OLTP , Flat files, Xml files, Legacy data which supported in RDBMS

ETL:

Extract transform load (ETL) will do cleansing work and transform your source data to data warehouse (OLAP)

OLAP:

Data will be in de-normalised form

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Top 130 SQL Interview Questions And Answers

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Informatica sample project

Informatica sample project - 1 CareFirst – Blue Cross Blue Shield, Maryland (April 2009 – Current) Senior ETL Developer/Lead Model Office DWH Implementation (April 2009 – Current) CareFirst Blue Cross Blue Shield is one of the leading health care insurance provided in Atlantic region of United States covering Maryland, Delaware and Washington DC. Model Office project was built to create data warehouse for multiple subject areas including Members, Claims, and Revenue etc. The project was to provide data into EDM and to third party vendor (Verisk) to develop cubes based on data provided into EDM. I was responsible for analyzing source systems data, designing and developing ETL mappings. I was also responsible for coordinating testing with analysts and users. Responsibilities: · Interacted with Data Modelers and Business Analysts to understand the requirements and the impact of the ETL on the business. · Understood the requirement and develope

Datawarehouse Architect

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