Once a dataset has been filtered and shaped (as covered in the previous chapter), it probably still needs a good few modifications to make it ready for consumption. Many of these modifications are, at their heart, a series of fairly simple yet necessary techniques that you apply to make the data cleaner and more standardized. I have chosen to group these approaches under the heading data transformation.
The sort of things that you may be looking to do before finally loading source data into the data model normally cover a range of processes that cleanse the data. They can ...
