In the world of cloud analytics, what role do precomputation and distributed OLAP play compared with a data virtualization approach? Which should you choose? Do they compete or complement each other? This webinar will address these questions and provide some guidance for how to choose the right approach for your circumstances.
Both technologies are trying to address a similar challenge: make analytics easily accessible to a wider audience in a modern big data environment. Precomputation focuses on performance, response time, and concurrency in the production environment. Data Virtualization technologies focus on making analysis easily available to users by reducing or eliminating ETL and data warehouses.
In this webinar we will cover:
-The key differences between precomputation and data virtualization
-How your choice between the two affects data quality, security, governance, and TCO
-The financial impact each of these technologies have on your analytics program