Scalable & flexible data storage and compute for 2000+ objects (3+ TB of data)
Faster data accessibility for reporting & analytics with processes finishing every 1 hour
The client is a Fortune 500 Company providing insurance and other services. Due to the rigidity of the legacy data system, the data could not be leveraged for analytics & data science purposes. The client wanted a flexible, data lake on cloud-enabled with analytics capabilities to improve productivity and decision making.
Quantiphi created a cloud-based data platform set up to bring the data from various on-premise systems and data sources to Azure Cloud using Azure Data Factory. Quantiphi also set up a Data Lake and Delta Lake for prioritized sources, including the complex merger of historical data with incremental data. This established Snowflake as an enterprise data warehouse and implemented fine-grained data governance and security considerations.