Real-Time Big Data in a Distributed SQL System
SQL is the language of choice for relational database management systems but it is traditionally slow and does not scale past a single machine. In this session, learn how to horizontally scale your data and workload on a distributed SQL system powered by commodity hardware for high performance real-time analytics. We will also cover how to take advantage of distributed parallel processing by writing parallelizable SQL queries. Attend this session to learn:
Nikita Shamgunov co-founded MemSQL and has served as CTO since its inception. Prior to co-founding the company, Nikita worked on core infrastructure systems at Facebook. He served as a distinguished senior database engineer at Microsoft SQL Server for more than half a decade. Nikita holds a bachelor's, master's and doctorate in computer science, has been awarded several patents and was a world medalist in ACM programming contests.