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As the amount of data rapidly increases, so does the importance of data
wrangling and data cleansing. Both processes play a key role in ensuring raw
data can be used for operations, analytics, insights, and inform business
ELT is becoming the default choice for data architectures and yet, many best practices focus primarily on “T”: the transformations.