In the age of Big Data, the modern enterprise needs to collect, store, and analyze increasing amounts of data in order to monitor critical business functions,
properly allocate monetary and human capital resources, and make informed strategic business decisions.
In order to process, transform, and share data across business units, subsidiaries and partners with often hundreds to thousands of concurrent users, enterprises have turned to Cloud computing and data services such as Amazon Web Services (AWS) and SaaS-based data warehousing to store data efficiently, minimize cost
and human capital output, and deliver business insights in real-time.
An Amazon WeB Services Data Warehouse
Built for Your Needs
An Amazon Web Services data warehouse needs to combine the access, scale, and OpEx cost flexibility of Cloud computing services with the analytics power of an elastic, SaaS data warehouse to rapidly extract and share key data insights anytime, anywhere.
Snowflake on AWS delivers this powerful combination with a SaaS-built SQL data warehouse that handles diverse data sets in a single, native system. Snowflake automatically scales workload, data, and user demands to provide full elasticity – businesses only pay for what they need
