Apache Spark in 7 Days [Video]

More Information
  • Find out how to deploy a Spark cluster in the AWS (Amazon Web Services) cloud, using a Python EC2 (Amazon Elastic Compute Cloud)script
  • Study the basic concepts of Spark, including transformations and actions
  • Uncover what RDDs (Resilient Distributed Datasets) are and how to perform operations on them
  • Run queries using Spark SQL
  • Write Spark SQL queries and work with Spark DataFrames
  • Understand how to use MLlib for machine learning applications
  • Discover streaming operations

If you’re looking to get up to speed with learning the fundamentals of Apache Spark in a short period of time, you can count on this course to help you learn the basics of this engine. Spark is becoming a popular big data processing engine with its unique ability to run in-memory with excellent speed. It is also easy to use and offers simple syntax.

The course is designed to give you a fundamental understanding of and hands-on experience in writing basic code as well as running applications on a Spark cluster. Over 7 days, you will work on interesting examples and assignments that will demonstrate and help you understand basic operations, querying, machine learning, and streaming.

By the end of this course, you’ll be able to put your learning to practice and build your own projects with ease and confidence.

The code bundle for this video course is available at - https://github.com/PacktPublishing/Apache-Spark-in-7-Days

Style and Approach

This is an introductory step-by-step course offering practical and actionable guidance in using Spark, with simple instructions.

  • Receive practical guidance on Apache Spark to get up to speed with big data in 7 days
  • Grasp the fundamentals of Apache Spark by working on data streaming systems, big data processing and more
  • Work on Spark operations and tasks to write and test applications using Python at speed
Course Length 3 hours 43 minutes
ISBN 9781789809145
Date Of Publication 26 Feb 2019


Karen Yang

Karen Yang has been a passionate self-learner in computer science for over 6 years. She has programming, big data processing, and engineering experience. Her recent interests include cloud computing. She previously taught for 5 years in a college evening adult program.

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