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Advanced analytics and real-time data processing in Apache Spark

Author: Tomasz Lelek
Publisher: [Place of publication not identified] : Packt Publishing, [2018]
Edition/Format:   eVideo : Clipart/images/graphics : English
Summary:
"This comprehensive tutorial will acquaint you with all the aspects of real-time analytics with Apache Spark, one of the trending Big Data processing frameworks on the market today. It will show you how to leverage the features of various components of the Spark framework to efficiently process, analyze, and visualize your data. You will learn how to implement the high velocity streaming operation for data  Read more...
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Material Type: Clipart/images/graphics, Internet resource, Videorecording
Document Type: Internet Resource, Computer File, Visual material
All Authors / Contributors: Tomasz Lelek
OCLC Number: 1026400879
Notes: Title from title screen (viewed February 26, 2018).
Date of publication from resource description page.
Performer(s): Presenter, Tomasz Lelek.
Description: 1 online resource (1 streaming video file (3 hr., 24 min., 30 sec.)) : digital, sound, color
Responsibility: Tomasz Lelek.

Abstract:

"This comprehensive tutorial will acquaint you with all the aspects of real-time analytics with Apache Spark, one of the trending Big Data processing frameworks on the market today. It will show you how to leverage the features of various components of the Spark framework to efficiently process, analyze, and visualize your data. You will learn how to implement the high velocity streaming operation for data processing in order to perform efficient analytics on your real-time data. You’ll analyze data using machine learning techniques and graphs. You’ll learn about Spark Streaming and create real-world streaming processing that address all the problems that need to be solved. You’ll solve problems using Machine Learning techniques and find out about all the tools available in the MLlibtoolkit. You’ll find out how to leverage Graphs to solve real-world problems. At the end of this video, you’ll also see some useful Machine Learning algorithms with the help of Spark MLlib and will integrate Spark with R. We’ll also make sure you’re confident and prepared for graph processing, as you’ll learn more about the GraphX API. By the end, you’ll be well-versed in the aspects of real-time analytics and implement them with Apache Spark."--Resource description page.

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Primary Entity

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