Apr 22 2013
ETL. Extract, transform, load. Properly understand the structure, sources and means of acquiring data. Filter and pre-process the data. Process it based on priority, squeeze out information and insights to present meaningful formats, action and retain these insights, throw away used data. Without ALL these steps, you will build a “data landfill” not a “data warehouse”.
I love how this philosophy applies to Big Data in the corporate world, information gathering in the intelligence community, student learning, and even interpersonal relationships.