Business Challenge

 

In the world of Data warehouse, storage and query performance optimization are the major concerns. SnowFlake schema was used to build Data Warehouse, and as a result, when they use to query on the Data Warehouse, there were a lot of joins in the query.

 

The major challenges were -

  • Understanding the schema and then denormalizing the lookup tables to reduce the number of joins in the query.

  • Aggregation queries were too slow so we need to migrate our data into our new data warehouse that can give the response in seconds.


 

Solution Offered

 

  • Denormalization - In collaboration with SRP Solutions team, we started understanding schema from conceptual models to physical models and then we understood the granularity of our snowflake schema.

  • Data Migration - The other challenge was to reduce the latency of aggregate queries. So we migrated our data to Druid Data Warehouse in which we defined our aggregation policy for every table.

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