Learning path : Architect and build big data applications.

By: Contributor(s): Publisher: [Place of publication not identified] : O'Reilly Media, 2015Description: 1 online resource (1 streaming video file (30 hr., 56 min., 29 sec.)) : digital, sound, colorContent type:
  • two-dimensional moving image
Media type:
  • computer
  • video
Carrier type:
  • online resource
Other title:
  • Architect and build big data applications
Subject(s): Genre/Form: LOC classification:
  • QA76.9.B45
Online resources:
Incomplete contents:
Learning big data and NOSQL / [by Vladimir Bacvanski] -- Learning Apache Cassandra / [by Ruth Stryker] -- Introduction to Apache Kafka / with Gwen Shapira -- Introduction to Apache Spark / with Paco Nathan -- [Building big data platforms / with Ben Lorica, Kurt Brown, Fangjin Yang, Vadim Ogievetsky, Anil Maden, Martin Kleppmann, Ian Eslick, John Carnahan, Matthias Braeger, Manish Devgan, Michael Abbott] -- Architectural considerations for Hadoop applications / with Mark Grover, Ted Malaska, Jonathan Seidman, & Gwen Shapira -- An introduction to Time Series with Team Apache / with Patrick McFadin.
Presenters, Vladimir Bacvanski, Ruth Stryker, Gwen Shapira, Paco Nathan, Ben Lorica, Kurt Brown, Fangjin Yang, Vadim Ogievetsky, Anil Maden, Martin Kleppmann, Ian Eslick, John Carnahan, Matthias Braeger, Manish Devgan, Michael Abbott, Mark Grover, Ted Malaska, Jonathan Seidman, Patrick McFadin.Summary: "With datasets growing increasingly large, the need for custom data solutions has soared as well. This Learning Path will take you through the entire process of designing and building data applications that can visualize, navigate, and interpret reams of data. Get a thorough introduction to the most important tools in the big data ecosystem."--Resource description page.
Item type: eBooks
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Title from resource description page (Safari, viewed March 14, 2016 ).

Presenters, Vladimir Bacvanski, Ruth Stryker, Gwen Shapira, Paco Nathan, Ben Lorica, Kurt Brown, Fangjin Yang, Vadim Ogievetsky, Anil Maden, Martin Kleppmann, Ian Eslick, John Carnahan, Matthias Braeger, Manish Devgan, Michael Abbott, Mark Grover, Ted Malaska, Jonathan Seidman, Patrick McFadin.

"With datasets growing increasingly large, the need for custom data solutions has soared as well. This Learning Path will take you through the entire process of designing and building data applications that can visualize, navigate, and interpret reams of data. Get a thorough introduction to the most important tools in the big data ecosystem."--Resource description page.

Learning big data and NOSQL / [by Vladimir Bacvanski] -- Learning Apache Cassandra / [by Ruth Stryker] -- Introduction to Apache Kafka / with Gwen Shapira -- Introduction to Apache Spark / with Paco Nathan -- [Building big data platforms / with Ben Lorica, Kurt Brown, Fangjin Yang, Vadim Ogievetsky, Anil Maden, Martin Kleppmann, Ian Eslick, John Carnahan, Matthias Braeger, Manish Devgan, Michael Abbott] -- Architectural considerations for Hadoop applications / with Mark Grover, Ted Malaska, Jonathan Seidman, & Gwen Shapira -- An introduction to Time Series with Team Apache / with Patrick McFadin.

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