2. Creating a Data Warehouse

3. Data Acquisition: Extract, Transform, Load Extraction Process of identifying and retrieving a set of data from the operational systems Transformation Tools that allow data warehouse administrators to apply business rules for integrating data from multiple tables and source systems (e.g., aggregating data from two or more fields to create a summary table or total) Loading Move and load source data to a different storage location, often a ROLAP star schema Load performance becomes a critical component of the data acquisition environment as volumes increase

4. Data Transformation

5. Typical Data Warehouse Architectures

6. Architecture for a Complex Data Warehouse

7. Data Warehouse Information Flows

8. Inflow - Processes associated with the extraction, cleansing, and loading of the data from the source systems into the data warehouse. Upflow - Processes associated with adding value to the data in the warehouse through summarizing, packaging, and distribution of the data.

9. Downflow - Processes associated with archiving and backing-up/recovery of data in the warehouse. Outflow - Processes associated with making the data available to the end- users. Metaflow - Processes associated with the management of the metadata.

10. DW Tools and Technologies Building a data warehouse is a complex task because there is no vendor that provides an ‘end-to-end’ set of tools. Necessitates that a data warehouse is built using multiple products from different vendors. Ensuring that these products work well together and are fully integrated is a major challenge.

11. Crucial Decision in Designing a Data warehouse Step1 - Choose the subject matter one at a time Step 2 – Decide what the fact table represents Step 3 – Identify and conform the dimensions Step 4 – Choose the facts Step 5 – Store the pre calculations in the fact table Step 6 – Define the dimension and tables Step 7 – Decide the direction of the database and periodicity of updating Step 8 – Track slowly the changing dimensions Step 9 – Decide the query priorities and the query modes. Implement the Data warehouse

12. Various Technical Consideration To design and implement D.W.H the various technical issues needed to be considered 1.H/W platform of a data warehouse 2.DBMS for supporting D.W.H 3.Common and network infrastructure for D.W.H 4.System Management and OS consideration 5.S/W tools for building, operating and using D.W.H