Overview

Apache Spark is a lightning fast cluster computing designed for fast computation. Spark executes in memory data processing and runs much faster than Hadoop Map Reduce. Learners will get trained in-depth spark concepts with Scala programming and its components such as Spark Streaming, Spark SQL, Spark RDD, Spark MLlib and Spark Graphx.

Objective

• After completing the Apache Spark training, you will be able to:
• Understand Scala and its implementation
• Install Spark and implement Spark operations on Spark Shell
• Understand the role of Spark RDD
• Implement Spark applications on YARN (Hadoop)
• Learn Spark Streaming API
• Implement machine learning algorithms in Spark MLlib API
• Analyse Hive and Spark SQL architecture
• Understand Spark Graphx API and implement graph algorithms
• Project

Audience

• Professionals aspiring to work on Big Data Analytics.
• Spark Developers
• Data Scientist

Prerequisites

Basic knowledge of big data, HDFS, any programming language like java, python, etc. but it is not mandatory.