- Getting data from the various source into one place
- Piecing the data together according to the determined setting
- Cleaning the data from the noise or erroneous, missing elements
- Consolidating data from various sources or data sets into a coherent whole. For example, you
have an affiliate advertising network, and you need to gather performance statistics for the
current stage of the marketing campaign.
- Matching data with the existing data sets. For example, you already have user data for a
certain period and unite these sets into a more expansive one;
Filtering data through determined settings for the processing.