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Big Data Analytics Using Apache Spark

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Course Features

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Duration

1.22 hour

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Teaching Type

Self Paced

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Video Content

1.22 hour

Course Description

You can perform Big Data analytics on data and draw conclusions without programming knowledge

About This Video

  • Spark can handle big data and be used for batch and stream processing
  • Apache Spark is a powerful tool for big data processing.
  • Spark Streaming allows you to create streaming applications that are real-time and fast.

This course will teach you how to obtain structured, semi-structured and unstructured content from various data sources. Spark SQL will be used to query data and the Spark processing tool will be used to acquire and load data. You will be able to import both structured and unstructured data, from different sources. Further, you will learn how Apache Spark can be used to perform complex processing without any programming knowledge.

You will be able to create real-world apps, and stream high-velocity data using Spark Streaming by the end of this course.

All the code and supporting files for this course are available on Github at https://github.com/PacktPublishing/-Big-Data-Analytics-using-Apache-Spark

Course Overview

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International Faculty

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Post Course Interactions

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Instructor-Moderated Discussions

Skills You Will Gain

What You Will Learn

Develop real-time, rapid streaming applications using Spark Streaming

Handle big data with Spark and use it for stream and batch processing

Implement efficient big data processing with Apache Spark

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