Our client is an American retail giant who wanted to perform analytics on the clickstream data in real time on a daily basis.
Datametica built a foundation layer to perform analytics on the clickstream data. The data is ingested in two ways - batch cycle of one day, and real time – after which it is cleansed and a single denormalized layer is built using different lookup tables and files. This denormalized layer is accessed to carry out analytics.
Building quick summaries in real time
Sending recommendations to customers for increased e-commerce Sales
Tools / Technologies
- Java to write UDFs