Bill Bain on Using Distributed, In-Memory Computing for Fast Data Analysis
On September 13-14, 2011 Dr. Bill Bain presented talks to members of the New York Technology Council and Wall Street Technology Association.
Topics covered in these discussions included:
- An overview on the problem of scalability and how distributed data grids enable sharing across unified systems and create high availability.
- What distributed data grids or (in-memory data grids) are and how they can be used to increase response times in environments where fast changing data needs to be shared across web servers.
- Use cases of how web and application server farms can increase scalability in virtual, cloud-based environments by using distributed data grids as well as the history behind why this is currently possible.
- How distribued data grids are highly useful for map/reduce computations and achieving "faster times to insight".
