Real time streaming using Apache Spark Streaming / Tomasz Lelek.

By: Contributor(s): Publisher: [Place of publication not identified] : Packt Publishing, [2017]Description: 1 online resource (1 streaming video file (59 min., 39 sec.)) : digital, sound, colorContent type:
  • two-dimensional moving image
Media type:
  • computer
  • video
Carrier type:
  • online resource
Subject(s): Genre/Form: LOC classification:
  • TK5105.386
Online resources: Presenter, Tomasz Lelek.Summary: "Spark is the technology that allows us to perform big data processing in the MapReduce paradigm very rapidly, due to performing the processing in memory without the need for extensive I/O operations. Recently, the streaming approach to processing events in near real time became more widely adopted and more necessary. In this course, you will learn how to handle big amount of unbounded infinite streams of data. You will analyze data and draw conclusions from it. Furthermore, we will look at common problems when processing event streams: sorting, watermarks, deduplication, and keeping state (for example, user sessions). You will also implement streaming processing using Spark Streaming and analyze traffic on a web page in real time."--Resource description page.
Item type: eBooks
Star ratings
    Average rating: 0.0 (0 votes)
No physical items for this record

Presenter, Tomasz Lelek.

Title from title screen (viewed August 3, 2017).

Date of publication from resource description page.

"Spark is the technology that allows us to perform big data processing in the MapReduce paradigm very rapidly, due to performing the processing in memory without the need for extensive I/O operations. Recently, the streaming approach to processing events in near real time became more widely adopted and more necessary. In this course, you will learn how to handle big amount of unbounded infinite streams of data. You will analyze data and draw conclusions from it. Furthermore, we will look at common problems when processing event streams: sorting, watermarks, deduplication, and keeping state (for example, user sessions). You will also implement streaming processing using Spark Streaming and analyze traffic on a web page in real time."--Resource description page.

Copyright © 2020 Alfaisal University Library. All Rights Reserved.
Tel: +966 11 2158948 Fax: +966 11 2157910 Email:
librarian@alfaisal.edu