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This month's topic: 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).
Speaker: Gera Shegalov
Gera Shegalov owns Hadoop MapReduce and Hadoop Core components in MapR's Hadoop Distribution. Prior to MapR, he worked at Oracle in Oracle Database High Availability on (Active) Data Guard, and in Oracle Java Platform Group on JMS backend communication and storage. Gera received Masters and PhD in Computer Science from Saarland University in Saarbruecken, Germany. His research focussed on workflow management, temporal databases, as well as application & database recovery.
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This month's topic: Apache Drill
Apache Drill is a new Apache incubator project. Its 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).
Speaker: Gera Shegalov
Gera Shegalov owns Hadoop MapReduce and Hadoop Core components in MapR's Hadoop Distribution. Prior to MapR, he worked at Oracle in Oracle Database High Availability on (Active) Data Guard, and in Oracle Java Platform Group on JMS backend communication and storage. Gera received Masters and PhD in Computer Science from Saarland University in Saarbruecken, Germany. His research focussed on workflow management, temporal databases, as well as application & database recovery.
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