Hadoop Spark Online Training Courses

Hadoop Spark training is a professional training course on Java based programming framework Hadoop and Apache Spark. It is a course that will teach you to process large data sets in a distributed computing environment using Apache Spark and Hadoop. In this course, you will learn to write spark applications and how to use spark shell to analyze data. You will also learn how to write parallel programming with spark as well as processing of streaming data using spark. This course will teach you everything you need to know about Hadoop and Apache Spark, to process large data sets using them.

The main aim of Hadoop Spark training is to teach you about Java based programming framework, Hadoop and Apache Spark, in details. The advantages of doing a Hadoop Spark Training are as follows:

• Hadoop Spark training is specifically designed to teach developers about Hadoop and Apache Spark. In this course you will learn to analyze data using spark shell and how to write spark applications in details.
• You will learn how to write parallel applications and parallel programming using Spark and Hadoop.
• In this course, you will learn How Spark runs on a cluster in details.
• This course will teach you to analyze interactive data using Spark.
• You will learn about the features of Spark’s Resilient Distributed Datasets in details during this course.
• After completion of this course you will be able to create applications using Spark SQL, MLlib, Spark streaming and GraphX.

The course is ideal for developers and software engineers. During the course, examples and exercise are presented in Python and Scala. So knowledge of at least one of these two programming language is essential. Also, some basic knowledge of Linux is required.

Spark is a powerful, open source processing engine for data processing in Hadoop cluster. This Java based programming framework is optimized for speed, ease of use, and advanced analytics. And with the knowledge of Spark, developers will be able to write sophisticated parallel application for faster business decision and better user outcomes. Spark is applied to process large data sets in various platforms from architectures to industries. And with the help of the knowledge, gained during this course, developers’ will be able to work in various different fields and their career opportunity will be increased in a wide margin.