SQL is the natural language for querying data, but data increasingly lives in many places: HDFS, HBase, relational databases, and NoSQL stores. As the options for data management explode, developers, applications, and tools begin to demand SQL everywhere.
In this session, we’ll present a SQL-based strategy for integrating Hadoop, NoSQL technologies, and relational databases. Our approach illustrates how to get the best out of each platform, and enables integration with no changes to existing applications. Along the way, we’ll dive deep into the architecture of Big Data SQL, which can access all of these platforms in a single query through query franchising.
This session is sponsored by Oracle
Dan McClary currently serves as Principal Product Manager for Big Data and Hadoop at Oracle. Prior to joining Oracle he served as Director of Business Intelligence at Red Robot Labs in Palo Alto, CA. He previously was as a Visiting Scholar at Northwestern University and the Howard Hughes Medical Institute where his research in Complex Systems focused on applying Hadoop to large scale graph problems. Dr. McClary received his PhD in Computer Science from Arizona State University, where his work centered on adaptive optimization of mobile and ad hoc networks. He holds an M.S. in Computer Science from Arizona State focused on hard real-time schedulability in distributed systems and was founder of imgSurf, a biometrics and electronic medical record company.