Real-Time Analytics with Apache Storm Training

Real Time Analysis using Apache Storm Certification Training Course Overview

Enroll for the 2-day Real Time Analysis using Apache Storm training course from Koenig Solutions. Apache Storm is an advanced and distributed open source stream engine processing big data at an extremely high speed. Written in Clojure programming language, it is a real-time computational system which makes it easier to process unbounded streams of data. One of its advantages is that it can be used on any programming language. 

Through a blend of hands-on labs and interactive lectures, you will learn its concepts including its architecture, installation, planning, and configuration. You will learn to leverage the power of Storm and use it for real-time processing of big data. The course also helps you get an insight on the way Storm interfaces with other frameworks like Kafka, Java, and Cassandra. 

Target Audience:

This Real Time Analysis using Apache Storm course is for Software Professionals, Data Scientists, ETL Developers, Analytics professionals, Big Data Analysts and Hadoop Professionals and IT developers who want to acquire a good understanding of Apache Storm.

Learning Objectives

After completing this course, you will be able to:

  • Big Data and its Uses
  • Storm Introduction
  • Storm Installation and Configuration
  • Spouts and Bolts
  • Storm Trident

Real-Time Analytics with Apache Storm Training (Duration : 16 Hours) Download Course Contents

Live Virtual Classroom Fee For Both Group Training & 1-on-1 Training On Request
Group Training
09 - 10 Aug 09:00 AM - 05:00 PM CST
(8 Hours/Day)

20 - 21 Sep 09:00 AM - 05:00 PM CST
(8 Hours/Day)

1-on-1 Training (GTR)
4 Hours
8 Hours
Week Days
Week End

Start Time : At any time

12 AM
12 PM

GTR=Guaranteed to Run
Classroom Training (Available: London, Dubai, India, Sydney, Vancouver)
Duration : On Request
Fee : On Request
On Request
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Course Prerequisites
There are no prerequisites required to attend the Apache Storm training. But, having elementary knowledge of programming languages like Java, Object-Oriented Programming, Hadoop, Linux, will help you understand concepts easily.