What are the different data set types?
There are four different data set types
There are four different data set types
1. Processed Data: One row per user. For example survey data or a product database would be processed data.
1. Processed Data: One row per user. For example survey data or a product database would be processed data.
2. Unprocessed Data: One row per event. Multiple rows per user in the file. Transaction data would be considered Unprocessed Data as would log file data from a website.
2. Unprocessed Data: One row per event. Multiple rows per user in the file. Transaction data would be considered Unprocessed Data as would log file data from a website.
3. Unprocessed Data for Price Elasticity: The reason we specify this type of data - even though it is the same type as Unprocessed Data - is so that it doesn't get corrupted or altered making it unusable for the Price Elasticity calculations. It also prevents users deleting it from the Static Data Table without first removing it from the Price Elasticity data store.
3. Unprocessed Data for Price Elasticity: The reason we specify this type of data - even though it is the same type as Unprocessed Data - is so that it doesn't get corrupted or altered making it unusable for the Price Elasticity calculations. It also prevents users deleting it from the Static Data Table without first removing it from the Price Elasticity data store.
4. Mapping (operational) Files. These are command files, they contain instructions and information that tell the application how to process a data set or to extract data from it.
4. Mapping (operational) Files. These are command files, they contain instructions and information that tell the application how to process a data set or to extract data from it.