Data Warehouse Components

Typical Data Warehouse Components

1. Source Systems

Source systems may be in the form of data existing in:

Production operational systems within an organization

Archives

Internal files not directly associated with company operational systems, such as individual spreadsheets and workbooks

External data from outside the company

2. Data Staging Area

The data staging area is analogous to a kitchen of a restaurant where raw food products are transformed into a fine meal. In a data warehouse, raw operational data is transformed into a warehouse deliverable analytical data fit for query and consumption.

It is both a storage area and a set of processes commonly known as Extract-Transformation-Load (ETL). It is off limits to business users and it is not suitable for querying and reporting. ETL is covered in detail later in the session. It may be an operational data store (ODS) environment, a set of flat files, a series of tables in a relational database server, or proprietary data structures used by data staging tools.

A normalized database for data staging area is acceptable.

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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

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