A stable data model provides numerous advantages in developing Big Data and NoSQL systems, especially when sharing data over the cloud. Adopting an immutable model eases much of the pain of achieving consistency, especially at great scale. There can be trade-offs however that you need to be aware of.
This webinar will present details and examples of immutable data models as applied to various NoSQL systems, including MongoDB, Cloudant, Riak and Cassandra. The emphasis will be on the impact to application designers and architects, as well as the technical trade-offs and advantages. The discussion will be well-grounded in real world examples from within and beyond the enterprise.
Mike Miller
Founder & Chief Scientist, Cloudant
As chief scientist, Mike is responsible for developing and evangelizing Cloudant's technical vision, managing long-term product R&D, and directing special projects. While at MIT as a Postdoctoral Fellow, he co-founded Cloudant after cutting his teeth on petabyte-per-second problems at the Large Hadron Collider. Mike holds a B.S. in Physics and a B.A in Philosophy from Michigan State, a Ph.D. in Physics from Yale, and is an Affiliate Professor of Particle Physics at University of Washington.
Cloudant, an IBM Company, provides the world’s first globally distributed database-as-a-service (DBaaS) for loading, storing, analyzing, and distributing operational application data for developers of large and/or fast-growing web and mobile applications. Delivered as a managed cloud service, Cloudant technology accelerates time-to-market and time-to-innovation because it frees developers from the mechanics of data management so they can focus exclusively on creating great applications. It also offers high availability, elastic scalability, and innovative mobile device synchronization.