7 Steps From Raw Data to Insight - insideBIGDATA

Data scientists generally ascribe to the "machine learning process" which is seen as a roadmap to follow when working on a data science project. The infographic at the end of this article provides a detailed work flow that it is general enough to encompass pretty much any data science project. Let's drill down into each of the "7 steps from raw data to insight" to get a sense for how to approach this important process. Step 1: Multiple data streams – where information comes in from numerous source and formats. The data for analysis may come from a data warehouse, data mart, data lake, or even Internet-of-Things (IoT) sensors.