Apache Spark, Scala, Storm and Kafka Training

This is a combo course that is designed by amalgamating the individual training courses in Apache Spark, Storm, Scala programming and Kafka. It is an all-in-one course designed to give a 360-degree overview of real-time processing of unbound data streams using Apache Storm and creating applications in Spark using Scala programming. The major topics include concepts of Big Data world, Batch Analysis, Types of Analytics and usage of Apache Storm for real-time Big Data Analytics, comparison between Spark and Hadoop and techniques to increase your application performance, enabling high-speed processing. Kafka is an open source message-broker platform, unified, high-throughput, low-latency platform for handling real-time data feeds. What you will learn in this training course? Understand basic distributed concepts and Storm Architecture Know the Logic Dynamics, Components and Topology in Storm Learn Scala and its programming implementation Spark cluster implementation & writing applications in Java, Python & Scala Trident Spouts, Filter, Function and Aggregatior Integrate Flume with Kafka Learn about Kafka and its components Kafka cluster setup with Hadoop and YARN Real time streaming systems like Spark and Storm integrating with Kafka Working with Kafka consumers, producers and learning Kafka API. Who should take this training course? Big Data Hadoop professionals, software engineers who want to program for Hadoop. Software Architects, Data Scientists, ETL Developers and Project Managers What are the prerequisites for taking this course? You don’t need any prerequisites for taking this course. A basic knowledge of Java is beneficial. Why should you take this Training Course? With the increasing amount of Big Data there is a real need of newer ways of processing and handling all that data. This is where the technologies like Spark, Scala, Storm and Kafka find increasing demand in today’s world. Upon completion of this training you will be fully proficient in working in real-time data processing scenarios on huge data streams. You can command top salaries in the best MNCs around the world. Read More