Overview of Course

Apache Storm is a distributed real-time computation system used for processing large streams of data. Our Apache Storm Training course provides hands-on experience in building real-time processing applications using Storm.

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Course Highlights

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In-depth understanding of Apache Storm Architecture and Components

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Hands-on experience in building real-time processing applications

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Expert-led live online training sessions<br /><br />




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Skills You’ll Learn

#1

Understanding of the real-time computation system

#2

Knowledge of Storm components and its architecture

#3

Ability to build real-time processing applications using Storm

#4

Understanding of data processing patterns and Storm best practices

Training Options

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1-on-1 Training

On Request
  • Option Item Access to live online classes
  • Option Item Flexible schedule including weekends
  • Option Item Hands-on exercises with virtual labs
  • Option Item Session recordings and learning courseware included
  • Option Item 24X7 learner support and assistance
  • Option Item Book a free demo before you commit!
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Corporate Training

On Request
  • Option Item Everything in 1-on-1 Training plus
  • Option Item Custom Curriculum
  • Option Item Extended access to virtual labs
  • Option Item Detailed reporting of every candidate
  • Option Item Projects and assessments
  • Option Item Consulting Support
  • Option Item Training aligned to business outcomes
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Course Reviews

Curriculum

  • What is Big data
  • Big Data Analytics: Batch Vs Real Time
  • Hadoop for Batch Analytics
  • Shortcomings of Hadoop
  • Storm for Real Time Analytics
  • What is Storm
  • Use Cases of Storm
  • Components of Storm
  • Properties of Storm
  • Storm Vs Hadoop

  • Storm Installation
  • Storm Running Modes
  • Creating First Storm Topology
  • Topologies in Storm.

  • Reliable Vs Unreliable Messages
  • Getting Data
  • Bolt Life cycle
  • Bolt Structure
  • Reliable Vs Unreliable Bolts.

  • Design and Trident in Storm
  • Storm Spout, RQ Class, Co-ordinator
  • Emitter, Bolt and Committer Bolts in Storm
  • Partitioned Transactional Spouts
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Description

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Target Audience:

  • Software Developers
  • Big Data Professionals
  • Data Engineers
  • Analytics Professionals
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Prerequisites:

  • Knowledge of Java Programming
  • Basic knowledge of Apache Hadoop and its components
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Benefits of the course:

  • Hands-on experience in building real-time processing applications
  • In-depth understanding of Apache Storm architecture and components
  • Expert-led live online training sessions
  • Course completion certificate
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Exam details to pass the course:

  • There is no exam to pass the Apache Storm Training course.
  • Participants need to complete all the course modules to receive a course completion certificate.
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Certification path:

  • There are no specific certifications required to learn Apache Storm.
  • However, participants can take the Cloudera Certified Data Engineer or Hortonworks Certified Apache Hadoop Developer certifications to demonstrate their proficiency in Hadoop and its ecosystem.
     
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Career options:

  • Big Data Developer
  • Data Engineer
  • Real-time Processing Developer
  • Hadoop Developer

Why should you take this course from Skillzcafe:

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Why should you take this course from Skillzcafe:
  • Bullet Icon Expert-led live online training sessions
  • Bullet Icon Hands-on experience in building real-time processing applications
  • Bullet Icon Flexible learning options
  • Bullet Icon Course completion certificate

FAQs

Basic knowledge of Apache Hadoop and its components is required to attend this course.

No, there is no exam to pass the Apache Storm Training course.

Yes, participants can access the course material for a limited period after completing the course.

The duration of the course is 50 hours.

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