Apache Spark with Scala [Video]

Apache Spark with Scala [Video]

Frank Kane

Get to grips with the fundamentals of Apache Spark for real-time Big Data processing
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Video Details

ISBN 13 9781787129849
Course Length 7 hours 4 minutes

Table of Contents

You Made It! Where to Go from Here?

Video Description

With the rise in popularity of the term ‘Big Data’, there is an increasing need to process large amounts of data in real-time, with maximum efficiency. This has led to Apache Spark gaining popularity in the Big Data market very quickly. The Spark ecosystem allows you to process large streams of data in real-time. As Spark is built on Scala, knowledge of both has become vital for data scientists and data analysts today. This comprehensive 7 hour course will empower you to build efficient Spark applications to fulfill your Big Data needs.You will start with quickly understanding the basics of Scala and proceed to set up the development environment for Apache Spark and Scala for Big Data processing. You will understand the different modules of Spark like Spark SQL, Spark Streaming and GraphX, along with when and how to use them. While doing so, you will build practical, real-world Spark applications in Scala and see how you can deploy them on the cloud. You will also learn how to perform machine learning in real time using Spark’s MLlib module. Finally, you will learn how to run Spark on Hadoop clusters along with best practices and troubleshooting techniques.With over 20 carefully selected examples and abundant explanation to explain even the most difficult concepts, this course will ensure your success in taming your Big Data challenges using Spark with Scala.

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What You Will Learn

  • Frame your Big Data problems as Apache Spark jobs
  • Set up the development environment for Scala and Apache Spark
  • Develop efficient Spark applications using Scala
  • Build and deploy Spark jobs on Hadoop clusters
  • Process real-time streams of data using Spark Streaming
  • Query your structured data using SparkSQL and work with the DataSets API
  • Analyze and process graph structures using Spark’s GraphX module

Authors

Table of Contents

You Made It! Where to Go from Here?

Video Details

ISBN 139781787129849
Course Length7 hours 4 minutes
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