Reducing the Cost of Cloud Data Analytics: 3 Architecture Choices

IT budgets are under pressure due to economic uncertainty, forcing technology leaders to find ways to accomplish more with less. With data and technology at the heart of the business, it is not possible to simply shut down cloud migrations and data analytics projects. Furthermore, in some verticals such as financial and health services, higher volatility and volume is leading to increasing amounts of data that needs to be processed and analyzed.

In this paper we look at three popular architecture choices for cloud data analytics, then describe how Dremio can help you accelerate projects and productivity at a fraction of the cost of cloud data warehouses and simple query engines.

Download PDF