Apache Drill

Apache Drill
Apache Drill is new Apache incubator project. It's goal is to provide a distributed system for interactive analysis of large-scale datasets. Inspired by Google's Dremel technology, it aims to process trillions of records in seconds. We will cover the goals of Apache Drill, its use cases and how it relates to Hadoop, MongoDB and other large-scale distributed systems. We'll also talk about details of the architecture, points of extensibility, data flow and our first query languages (DrQL and SQL).

Gera Shegalov is a Software Engineer at MapR Technologies, owner of Hadoop MapReduce and Hadoop Core components in MapR's Distribution of Apache Hadoop. He is a founding member of Apache Drill, and spends a portion of time working on it. Prior to MapR, he worked at Oracle on (Active) Data Guard in Oracle Database Recovery & High Availability, and in Oracle Java Platform Group on JMS backend communication and transactional persistence. Gera received Masters and PhD in Computer Science from Saarland University in Saarbruecken, Germany. His research focussed on workflow management, temporal databases (he was the first Research Intern kicking off the Immortal DB project at Microsoft Research), as well as application & database recovery.