Once a dataset
has been shaped and filtered (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 selection 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 include ...
