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Monday, April 13 • 4:00pm - 4:50pm
Apache MRQL (incubating): Advanced Query Processing for Complex, Large-Scale Data Analysis - Leonidas Fegaras, Univ. of Texas at Arlington

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Apache MRQL (incubating) is a new query processing system for large-scale, distributed data analysis. MRQL is more powerful than other query languages for distributed data analysis because it can operate on more complex data and supports more powerful query constructs. With MRQL, users are able to express complex data analysis tasks, such as PageRank, k-means clustering, and matrix factorization, using declarative queries exclusively, while the MRQL query processing system is able to compile these queries to efficient Java code that can run on multiple distributed processing platforms (currently Apache Hadoop MapReduce, Hama, Spark, and Flink). In this presentation, Leonidas Fegaras will give a brief overview of the MRQL query language and query processing architecture, will compare MRQL with other related Apache projects, and will discuss current state and future plans.

avatar for Leonidas Fegaras

Leonidas Fegaras

Associate Professor, Univ. of Texas at Arlington
Leonidas Fegaras is a Computer Science Professor at the University of Texas at Arlington (UTA). Prior to joining UTA, he was a Senior Research Scientist at the Oregon Graduate Institute in Portland, Oregon. He is a committer and PPMC member of Apache MRQL (incubating). Leonidas has... Read More →

Monday April 13, 2015 4:00pm - 4:50pm CDT
Texas V

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