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Apache Spark 2.0 / O'Reilly Media, Inc..

O'Reilly Online Learning: Academic/Public Library Edition Available online

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Format:
Conference/Event
Video
Author/Creator:
O'Reilly Media, Inc., author.
Conference Name:
Strata Conference and Hadoop World (2016 : San Jose, California)
Language:
English
Subjects (All):
Data mining.
Spark (Electronic resource : Apache Software Foundation).
Genre:
Electronic videos.
Physical Description:
1 online resource (1 video file, approximately 1 hr., 12 min.)
Edition:
1st edition
Place of Publication:
O'Reilly Media, Inc., 2016.
System Details:
video file
Summary:
In March 2016 at Strata in San Jose, CA, a standing room only audience of excited developers heard the first public overview of the dramatic changes coming to Apache Spark. Listen and watch as Databrick presenters Michael Armbrust and Tathagata Das run through the breakthrough concepts and technologies driving the Structured Streaming capabilities in Spark 2.0. Get a first-look preview of the break-through changes coming to Structured Streaming in 2.0 Understand the unified input/out API that works with virtually any format (JSON, Parquet, etc.) Learn about Datasets – a new abstraction that eliminates large swaths of unnecessary code Get how 2.0 simplifies exploration of large data stores and ensures error-free production pipelines Learn about the Catalyst optimizer and Tungsten – new tools for efficient pipeline analysis Explore an end-to-end execution pipeline that allows difficult ad-hoc interactive queries and more Learn about streaming DataFrames and how they unify interactive analysis See a demo of Structured Streaming and learn why it was developed Michael Arbrust and Tathagata Das work at Databricks, the company founded by the creators of Apache Spark. Das is the lead developer behind Spark Streaming, which he started while a PhD student in the UC Berkeley AMPLab. Armbrust is the lead developer for Spark’s SQL project. He holds a PhD from Berkeley.
Contents:
Apache Spark and real-time analytics : from interactive queries to streaming / [Michael Armbrust]
Taking Spark streaming to the next level with dataframes / [Tathagata Das].
Participant:
Presenters, Michael Armbrust and Tathagata Das.
Notes:
Online resource; Title from title screen (viewed May 11, 2016)
Title and publication information from resource description page (Safari, viewed May 24, 2016).
OCLC:
950572760

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