1. Data Warehousing A QUICK SUMMARY Sushanthan Premanath & Indrajith Premanath CSCI 4707

2. The Main Protagonists Bill Inmon  Born 1945  Father of Data Warehousing Ralph Kimball  Born 1944  Commercialized Data Warehousing

3. Big Data  The data should be de-normalized to 2NF.  This means you get data redundancy.  This means you need more storage.  The data can retrieved more quickly.  Data Warehousing is to provide aggregate data which is in a suitable format for decision making.

5. ETL and Data Marts  Extraction, Transformation and Loading (ETL)  E – Extraction: Get the data.  T – Transformation: Make it useful.  L – Loading : Save it to the warehouse.  Data Marts  Don’t mess with the data.  Keep it simple for the user.  Small problems are easier to solve.