Analytics across disparate applications has been am ongoing challenge in every organization. Proto typing an analytics solution across multiple applications can be time consuming. This usually involves moving data from multiple applications to a single data store - which is costly from a data movement, and modeling perspective.
There are several innovative solutions to this problem. One of the effective solutions is using Data virtualization. This session will explore possible solutions, focused on Data virtualization. The session will cover use cases where this solution is appropriate, and implementation plan, and best practices.
Attendees will learn many techniques for Data analytics across functional areas, including:
1) Quick and efficient proto-typing without the need for expensive ETL
2) Creating virtual single source of truths for the whole enterprise
3) Strategies to address short-term ad hoc information needs
No prior knowledge required
Software Installation Expectation
No software installation required