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Big Data Hadoop

APACHE STORM

Apache Storm is a distributed stream-processing computation engine that allows the user to carry out real-time big-data processing. Like Hadoop, it executes mapping and reducing functions, but the data it processes is in a stream and not i…

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Duration
30 Hours
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Mode
Live + Recorded
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Level
Beginner → Pro
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Language
English / Hindi

Course overview

About the APACHE STORM program.

Apache Storm is a distributed stream-processing computation engine that allows the user to carry out real-time big-data processing. Like Hadoop, it executes mapping and reducing functions, but the data it processes is in a stream and not in big batches. Storm can process information at the rate of over a million records per second per node in an average-sized cluster, yet it is simple and, reportedly, fun. Storm is fault tolerant, restarting workers that die, and restarting workers on another node if a node dies. It is written in Java and Clojure, but its applications can be written in any programming language. It is designed as a topology that acts as a data transformation pipeline. It is critically useful in a number of cases, such as real-time analytics, continuous computation, and online machine learning.

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Industry trainers

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Hands-on practice

Real-time scenarios & live project modules, not just slides.

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Certification

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Course curriculum

Designed by real-time industry professionals around current job roles.

Download curriculum (PDF)

Apache Storm Certification Online Training Curriculum


Introduction & Getting Started

  • What is Apache Storm?
  • Apache Storm vs Apache Hadoop

â–º Basics of Linux

â–º Basics of Java

Setting up storm cluster

  • Test cluster setup
  • Production ready cluster setup

Storm UI

  • Overview on storm ui

â–º Apache Storm: Advanced

  • Spouts & Bolts - Interface, method explanation
  • Storm Topologies
  • Types of Groupings
  • Guaranteed Message Processing

â–º Overview of Trident

Apache-kafka installation

  • Kafka Spout
  • Kafka-storm

Apache Storm Practical with real world examples

Delivery Methodology

  • We are using an experiential delivering methodology that blends theoretical concepts with hands-on practical learning to ensure a holistic understanding of the subject or course

Class Delivery

  • Live Interactive classes with expert

Course details

Who it is for, what you need, and how it is delivered.

Who should learn APACHE STORM?

Analytics professionals, 

Research professionals, 

Data Scientists

Prerequisites

Working knowledge of Java

Basic knowledge of Linux or Unix based systems

Basic knowledge of data processing

Delivery methodology

We are using an experiential delivering methodology that blends theoretical concepts with hands-on practical learning to ensure a holistic understanding of the subject or course.

Class delivery

Live Interactive classes with expert

Frequently asked questions

Everything you need before you enroll.

Can I attend a demo session before enrollment?

Yes. You may attend a demo class before enrollment for training quality evaluation, and interact one-to-one with the trainer for any specific requirement.

Can you schedule training as per my availability?

Yes. We discuss it with the trainer and schedule the training at a convenient time for you.

What if I miss a class?

You get the recorded session. You may also retake the whole training multiple times within a 6-month period with the same trainer.

Is there live project training?

Yes. The curriculum includes real-time scenarios and live project modules, with the trainer explaining every topic end-to-end.

How can I pay for the course?

Enroll securely via the payment gateway on this page using card, UPI or net-banking. EMI options are available.

More queries?

Call us at +91 769-409-5404 & +1 678-701-4914, or write to support@bisptrainings.com.

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