Interactive analysis of data stored in HDFS and other data sources has been gaining traction, and the field has been rapidly growing in the past few years. Wojciech Biela and Łukasz Osipiuk offer an introduction to Presto, an open source distributed analytical SQL engine that enables users to run interactive queries over their datasets stored in various data sources, including HDFS (Hive/Hadoop), Amazon S3, and various SQL and NoSQL data stores.
Presto is developed under the Apache 2.0 license. It was started at Facebook as an initiative to enable interactive querying across a variety of data stores. The project has a large and growing community of users that include Airbnb, LinkedIn, Netflix, Twitter, and Uber. Wojciech and Łukasz explore Presto’s design fundamentals and core capabilities and cover recent functional additions to Presto as well as current and future development themes. Along the way, they also describe the major Presto installations (Facebook, Netflix, Uber) and their usage scenarios.
Wojciech Biela is the engineering manager for the Warsaw-based Teradata Center for Hadoop team (within Teradata Labs), which is devoted to open source Presto development. Previously, Wojciech helped build the Polish branch for Hadapt, an SQL-on-Hadoop startup from Boston, which was acquired by Teradata in 2014, and developed projects and led development teams across many industries, from large-scale search, ecommerce, and personal banking to POS systems. Wojciech graduated from the Wrocław University of Technology.
Łukasz Osipiuk is a software engineer at the Teradata Center for Hadoop within Teradata Labs, where he is actively engaged in open source Presto development and architecture design. Łukasz was a core member of SQL-on-Hadoop startup Hadapt before its acquisition by Teradata in 2014. Previously, Łukasz was employed at GG Network, where he worked on its large-scale instant messenger core backend and distributed drive storage backend. He graduated from Warsaw University.
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