Big Data is not just a buzzword, but is also an accurate description of the data challenges faced by large and small enterprise solutions.
This is where Data Science and Data Transformation comes to play.
Data transformation, also known as ETL (Extract/ Transform/ Load) is the process via which data is converted from one format or structure to another.
Moving your application as a whole into the cloud, or a new data store in the cloud, you will need to change the type of data that you have.
If you want to aggregate and compare data from different sources, then data transformation is the way to do that.
If you want to add information to your data or enrich it, then data transformation is useful in such a scenario. Data transformation helps when you want to perform lookups, add timestamps or add geolocation data to your existing data.
If you have some form of streaming or unstructured data that you want to analyse along with some structured data that you have, then you can perform data transformation to achieve that.