The client faced significant challenges with their existing data analytics system:
- Inability to handle the growing data size, which reached TBs.
- Limited extensibility due to a flat structure, hindering future growth.
- Insights only generated for limited time, leading to system timeouts when extending the period.
- Complex and time-consuming process for generating new insights.
Zimetrics enabled a seamless transition with minimal disruption to ongoing operations.
- Leveraging Snowflake as a warehousing solution to enable scalable and analytical insights.
- Adopting an incremental transitioning approach from Athena to Snowflake, starting with MVPs and progressively migrating more data.
- Utilizing curated data tables to optimize data readiness and time-to-market.
- Minimizing the learning curve by reusing Apache Airflow for data synchronization between S3 and Snowflake.
Boost in overall system performance
< 8 seconds
New explore times with Snowflake, compared to over 60 seconds with old Athena queries
Curated tables enabling versatile usage across dimensions, supporting internal and customer-facing insights
Enabled insights for date ranges larger than 3 times from earlier system.