Apache Spark with Java - Learn Spark from a Big Data Guru [Video]

Apache Spark with Java - Learn Spark from a Big Data Guru [Video]

James Lee , Tao W.

Learn to analyze large data sets with Apache Spark by 10+ hands-on examples. Take your big data skills to the next level.
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Video Description

This course covers all the fundamentals of Apache Spark with Java and teaches you everything you need to know about developing Spark applications with Java. At the end of this course, you will have gained an in-depth knowledge pf Apache Spark, general big data analysis and manipulations skills. With these new skills you'll be able to help your company to adapt Apache Spark for building a big data processing pipeline and data analytics applications. This course covers 10+ hands-on big data examples. You will learn valuable knowledge on how to frame data analysis problems as Spark problems. Together we will learn examples such as aggregating NASA Apache web logs from different sources; we will explore the price trend by looking at the real estate data in California; we will write Spark applications to find out the median salary of developers in different countries through the Stack Overflow survey data; we will develop a system to analyze how maker spaces are distributed across different regions in the United Kingdom, and much more.

Style and Approach

This course is very hands-on, James has put in lots of effort to provide you with not only the theory but also real-life examples of developing Spark applications that you can try out on your own laptop.

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What You Will Learn

  • An overview of the architecture of Apache Spark.
  • Work with Apache Spark's primary abstraction, resilient distributed datasets(RDDs) to process and analyze large datasets.
  • Develop Apache Spark 2.0 applications using RDD transformations and actions, and Spark SQL.
  • Scale up Spark applications on a Hadoop YARN cluster through Amazon's Elastic MapReduce service.
  • Analyze structured and semi-structured data using Datasets and DataFrames, and develop a thorough understanding of Spark SQL.
  • Share information across different nodes on an Apache Spark cluster by broadcast variables and accumulators.
  • Learn advanced techniques to optimize and tune Apache Spark jobs by partitioning, caching and persisting RDDs.
  • Learn best practices for working with Apache Spark in the field.

Authors

Video Details

ISBN 139781788994330
Course Length3 hours 20 minutes
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