Apache Spark with Java - Learn Spark from a Big Data Guru

Video description

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

About This Video

  • You will gain an in-depth knowledge of Spark, general big data analysis, and data manipulation skills.
  • You'll be able to develop Spark application that analyzes gigabytes of data both on your laptop, and in the cloud using Amazon's Elastic MapReduce service.

In Detail

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.

Who this book is for

Anyone who wants to fully understand how Apache Spark technology works and learn how Apache Spark is being used in the field. Software engineers who want to develop Apache Spark 2.0 applications using Spark Core and Spark SQL. Data scientists or data engineers who want to advance their career by improving their big data processing skills.

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Product information

  • Title: Apache Spark with Java - Learn Spark from a Big Data Guru
  • Author(s): James Lee, Tao W.
  • Release date: April 2018
  • Publisher(s): Packt Publishing
  • ISBN: 9781788994330