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With lambda expressions and the Stream API, Java 8 becomes a highly powerful and expressive programming language that supports queries on in-memory data collections. These new Java features have shed light on a Stream computational model that enables users to easily process big data across multiple computational platforms. This session describes DistributableStream, the Java abstraction that supports distributed and federated query. DistributableStream builds on Stream, supporting execution of generic queries on any registered compute engine. At execution time, each portion of a DistributableStream is assembled as a local stream that represents data partitions locally stored on each machine. Authors: Garret Swart No bio available View more trainings by Garret Swart at https://www.parleys.com/author/garret-swart Kuassi Mensah Kuassi Mensah is Director of Product Management for Database Access Drivers, Frameworks and APIs including JDBC, Java in the Database, UCP, DRCP, Application Continuity and In-Database MapReduce. Mr Mensah holds a MS in Computer Sciences from the Programming Institute of University of Paris VI. He has published several articles and a book @ http://www.amazon.com/exec/obidos/ASIN/1555583296 He is is a frequent speaker at Oracle and IT events and maintains a blog @ http://db360.blogspot.com, as well as facebook, linkedin, and twitter (@kmensah) pages. View more trainings by Kuassi Mensah at https://www.parleys.com/author/kuassi-mensah Xueyuan Su Xueyuan Su is a Senior Member of Technical Staff at Oracle, focusing on Big Data technologies and products. He has broad interests in parallel and distributed systems, computer networks, and algorithm design and analysis. He obtained his Ph.D from Yale University with a concentration in theoretical computer science. View more trainings by Xueyuan Su at https://www.parleys.com/author/xueyuan-su Find more related tutorials at https://www.parleys.com/category/developer-training-tutorials
