Big Data is changing the way enterprises monitor business performance, allocate resources, and digest actionable intelligence. The exponentially growing amount of both structured and unstructured data pouring in from the Web, transactional PoS systems, and IoT devices can give organizations incredible, transformative insights but
these rich data veins can also create storage and distribution problems if the right data systems are not in place.
To facilitate secure data storage, real-time analytics, and concurrent, enterprise-wide data sharing without exorbitant capital expenditures, businesses are turning to
Cloud-based data services such as Microsoft Azure and SaaS data warehousing.
The optimal Azure data warehouse must seamlessly combine the power of Cloud computing services with the flexibility, access, and analytics power of SaaS
data warehousing to store data, extract valuable insights, and then share these insights in real time.
An AZure Data Warehouse
Built for Your Business requirements
Snowflake on Azure delivers this powerful combination with a SaaS-built data warehouse that handles diverse Azure data sets in a single, native system. With high customer demand for Azure, Snowflake offers Microsoft’s Cloud Web services platform as an option to run the Snowflake SaaS Data Warehouse.