This session will cover how MemSQL’s hybrid transactional and analytic data processing capabilities and Apache Spark integration enable businesses to build real-time platforms for applications like operational analytics, position monitoring, and anomaly detection. Advances in database management technology are causing business to reexamine data processing paradigms and infrastructure. The OLTP/OLAP binary is dissolving as new in-memory data processing technology converges transactions and analytics in a single operational database, and new analysis and stream processing platforms improve on and supersede the roles traditionally played by legacy enterprise data warehouses. With its architecture and feature set designed for hybrid transaction/analytic processing, as well as Spark integration, you’ll learn how to build applications that execute against real-time data models.
This session is sponsored by MemSQL
Eric is the cofounder and CEO of MemSQL, the leader in real-time and historical Big Data analytics based on a distributed in-memory database. Before MemSQL, Eric worked at Facebook on partnership development. He has worked in various engineering and sales engineering capacities at both consumer and enterprise startups. Eric is a graduate of Stanford University’s School of Engineering. In 2011 and 2012, Eric was named to Forbes’ 30 under 30 list of technology innovators.