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  • 2 years ago
Stream processing and messaging systems for the IoT age

Stream processing and messaging systems for the IoT age

The O’Reilly Data Show podcast: M.C. Srivas on streaming, enterprise grade systems, the Internet of Things, and data for social good.In this episode of the O’Reilly Data Show, I spoke with M.C. Srivas, co-founder of MapR and currently chief architect for data at Uber. We discussed his long career in data management and his experience building a variety of distributed systems. In the course of his career, Srivas has architected key components that now comprise many data platforms (distributed file system, database, query engine, messaging system, etc.). As Srivas is quick to point out, for these systems to be widely deployed in the enterprise, they require features like security, disaster recovery, and support for multiple data centers. We covered many topics in big data, with particular emphasis on real-time systems and applications. Below are some highlights from our conversation:
Applications and systems that run on multiple data centers
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