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Apache Storm Certification Training

Apache Storm is a distributed stream processing compute platform that is open-source and used for processing massive amounts of high-velocity data. This course will teach you about Storm's dependable real-time data processing capabilities, as well as how Storm differs from Hadoop and Kafka. Apache Storm may be used intelligently in a variety of settings, including ecommerce, supply chain, and streaming.

Why This Course

Apache Storm is used by Groupon, Twitter, and many other firms for commercial objectives such as real-time analytics and micro-batch processing.

Apache Storm is a free and open source distributed real-time compute system for processing massive amounts of data in a short period of time.

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The average annual salary is $90,167 USD. Indeed.com is a job search site.​​

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Self Paced Online Class

Apache Storm Certification Training

Our Online Self-Learning Courses offer a self-paced approach, enabling participants to start learning at their preferred times. These courses provide structured training and incorporate review exercises to solidify understanding. You'll access instructional videos and PowerPoint presentations (PPTs) and engage in assignments, projects, and various activities aimed at improving learning outcomes, all tailored to your convenience.

$399  $319

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Why Enroll In Apache Storm Course?

Apache Storm Certification Training can enhance the skills and knowledge of individuals in the field of real-time data processing, and increase their employability. For organizations, certified professionals can effectively design and implement Storm topologies, process and analyze real-time data faster, and gain insights into their data. This can lead to increased productivity, improved operational efficiency, and reduced costs, ultimately resulting in increased business value and competitiveness.

Apache Storm Training Features

Live Interactive Learning

  World-Class Instructors

  Expert-Led Mentoring Sessions

  Instant doubt clearing

Lifetime Access

  Course Access Never Expires

  Free Access to Future Updates

  Unlimited Access to Course Content

24x7 Support

  One-On-One Learning Assistance

  Help Desk Support

  Resolve Doubts in Real-time

Hands-On Project Based Learning

  Industry-Relevant Projects

  Course Demo Dataset & Files

  Quizzes & Assignments

Industry Recognized Certification

  CertHippo Training Certificate

  Graded Performance Certificate

  Certificate of Completion

Cloud

  Preconfigured Lab Environment

  Infrastructure with Tools and Software

  Single Sign-On

About your AWS Course

AWS Solutions Architect Course Skills Covered

Managing Security

Designing Data Storage Solutions

Monitoring Cloud Solutions

Designing Resilient AWS Solutions

AWS Cloud Cost Optimization

Designing Identity Solutions

Apache Storm Course Curriculum

Goal: This session will teach you about Big Data and how it is used to solve real-world challenges. 

Objective: At the end of this module, you should be able to:

  • Explain the use of Big data

  • Difference between Batch and Real-time Processing

  • How Apache Storm can be helpful for Real-time processing


Topics:

  • Big Data

  • Hadoop

  • Batch Processing

  • Real-time analytics

  • Storm origin

  • Architecture

  • Comparison with Hadoop and Spark

Skills:

  • Big Data use cases

  • Real vs Batch Processing

  • Why Apache Storm.

Hands-On:

You will learn about the following Apache Storm use cases: (a) batch processing vs real-time processing (b) aggregating click and impression data from many streams (c) trending search on any e-commerce platform (d) Twitter Streaming

Goal: In this module, you will learn How to install Storm and various Groupings architecture. 

Objective: At the end of this module, you should be able to:

  • Install Apache Storm in cluster mode

  • Nimbus, Supervisor and Worker Nodes

  • Groupings in Storm

Topics:

  • Installation of Storm

  • Nimbus Node

  • Supervisor Nodes

  • Worker Nodes

  • Running Modes

  • Local Mode

  • Remote Mode

  • Stream Grouping

  • Shuffle Grouping

  • Fields Grouping

  • All Grouping

  • Custom Grouping

  • Direct Grouping

  • Global Grouping

  • None Grouping

Skills:

  • Storm installation and groupings

Hands-On:

  • Setting up Storm Cluster

  • Various Components of Cluster

  • Storm Grouping

Goal:This session will teach you more about Storm's core components and how they function. Spouts, bolts, and their mechanics will be available to you. Spouts of many types and their functions. Bolt lifecycle, and it works. 

Objective: At the end of this module, you should be able to:

  • Spouts and how to create your custom Spout

  • Different types of Bolts and working

Topics:

  • Basic components of Apache Storm

  • Spout

  • Bolts

  • Running Mode in Storm

  • Reliable and unreliable messaging

  • Spouts

  • Introduction

  • Data fetching techniques

  • Direct Connection

  • Enqueued message

  • DRPC

  • How to create custom Spouts

  • Introduction to Kafka Spouts

  • Bolts

  • Bolt Lifecycle

  • Bolt Structure

  • Reliable and Unreliable Bolts

  • Basic topology example using Spout and bolts

  • Storm UI

Skills:

  • Apache Storm components (Spout & Bolts)

  • Creation of basic Topology in Apache Storm

Hands-On:

  • Trending Search topology

  • You will be provided a file containing numerous search phrases, and your task will be to discover the top 10 search keywords in the previous 60 seconds at any particular time.

Goal:You will learn about Apache Kafka, a highly scalable and extensively used event messaging system, in this module. Its operation and high-level components 

Objective:  At the end of this module, you should be able to:

  • Set up Kafka and familiar with produce and consumer

  • Kafka Spout in Apache Storm

Topics:

  • What is Apache Kafka?

  • Setting up Standalone Kafka

  • How to use Kafka Producer

  • How to use Kafka Consumer

  • Hand on Kafka

  • How Kafka Spout works in Apache Storm and its configuration

Skills:

  • Basics of Apache Kafka

  • Kafka Spout in Apache Storm

Hands-On:

  • Given a file of search keywords you have to produce and consume from Kafka.

  • Extension of previous case study: Keyword source will be Kafka Spout not file.

Goal: In this module, you will learn about Trident topology. Performing complex transformations on the fly using the Trident topology: Map, Filter, Windowing and Partitioning operations. 

Objective: At the end of this module, you should be able to:

  • Trident in Apache Storm

  • Understanding Trident topology for failure handling, process

  • Understanding of Trident Spouts and their numerous varieties, as well as the various Trident Spout interfaces and components, as well as familiarization with the Trident Filter, Aggregator, and Functions.

Topics:

  • Trident Design

  • Trident in Storm

  • RQ Class, Coordinator, Emitter bolt

  • Committer Bolts, Partitioned Transactional Spouts

  • Transaction Topologies

Skills:

  • Implementing Trident topology

Hands-On:

  • Twitter Data Analysis using Trident

Goal: In this module, you will work on an industry-level project. Design and development. 

Objective:  At the end of this module, you should be able to:

  • Set up Apache Storm cluster

  • Configuring Spout a Bolts

  • Developing topology

  • How to use Cassandra and Mongo in Apache Storm

Topics:

  • Product Catalog management system

Skills:

  • Familiar with Apache Storm

Hands-On:

  • Catalog management system: You get product details and must transfer the same data to numerous systems such as Solr, Mongo, Cassandra, HDFS, or MySQL, among others. You must create a topology that can complete the assignment.

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Certification

You will complete a real-world project at the end of your study. You will be given a Problem Statement as well as a data set to work with.

Once you have completed the project satisfactorily (as determined by an expert), you will be issued a certificate with a performance-based grade.

Apache Storm Online Training FAQs

At CertHippo, you will never miss a lecture! You can select one of two options:

  • View the recorded session of the class available in your LMS.

  • You can attend the missed session, in any other live batch.

We have included a resume creation feature in your LMS to assist you in this attempt. You may now design a winning CV in just three simple steps. You will have unrestricted access to these templates across all roles and designations. All you have to do is sign in to your LMS and select the "create your resume" option.

To maintain the Quality Standards, we have a restricted number of participants in a live session. As a result, without enrolment, it is not possible to participate in a live class. However, you may listen to a sample class recording to get a sense of how the lessons are run, the quality of the teachers, and the degree of engagement in a class.

All of the teachers at CertHippo are industry practitioners with at least 10-12 years of relevant IT experience. They are subject matter experts who have been educated by CertHippo to provide participants with an amazing learning experience.

You can give us a CALL at +1 302 956 2015 (US) OR email at info@certhippo.com

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Apache Storm Course Description

About the course

The course is intended to introduce you to the Apache Storm idea and explain the principles of Storm. The course will provide you an overview of Storm's structure and mechanism. Discover Apache Storm's architecture and principles. You will become acquainted with both the standalone and cluster configurations of Apache Storm. Storm topology and its use in numerous real-time streaming use cases. Apache storm's many components, which include Spouts and Bolts.  Storm's use in Distributed Computing. The distinction between Storm and Hadoop. Real-time and batch processing are also possible. Storm is being used in various industrial applications.

What are the objectives of this course ?

Following completion of this Training, you should be able to:


  • Introduction to Big Data and Real Time Big data processing

  • Batch Processing vs Real time Processing

  • Comparison with Hadoop and Spark

  • Installation of Storm

  • Various Grouping in Storm

  • Storm Spouts & Bolts

  • Basic components of Apache Storm and their working

  • Basic topology example using Spout and bolts

  • Kafka Introduction

  • Trident Topology

  • Transaction Topologies

  • Practical Case Studies

Why Learn Storm?

Apache Storm is a distributed real-time compute system that is free and open source. Storm makes it simple to handle unlimited streams of data in a reliable manner, doing for real-time processing what Hadoop accomplished for batch processing. Storm is easy to use, works with any programming language, and is a lot of fun! 


Storm has several applications, including real-time analytics, online machine learning, continuous computing, distributed RPC, ETL, and others. Storm is fast: a benchmark found it to handle over a million tuples per second per node. It is scalable, fault-tolerant, assures data processing, and is simple to set up and manage.

Who should go for this course?

This course is intended for professionals who want to work with Real-Time Big Data Analytics using Apache Storm and the Hadoop Framework.


  • This course is mostly beneficial to software professionals, data scientists, ETL developers, and project managers.

  • Other professionals interested in gaining a solid foundation in Apache Storm Architecture can also enroll in this course.

What are the prerequisites for this course?

Development experience with an object-oriented language is required. Also, fundamentals of networking and basic knowledge of command line& Linux would be advantageous. Experience with Java, git, Kafka will be beneficial. We have the following Courses that can be helpful –


  • Linux Fundamentals

  • Java certification training

  • Kafka training

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Projects

This course requires a PC with an Intel i3 CPU or higher, at least 8GB RAM, and 25GB HDD storage, as well as Chrome (latest version) / Mozilla with firebug (latest version), Java, Apache Storm, and Kafka.

We will assist you in installing and configuring a virtual machine with Ubuntu as the client using the Installation Guide for Practicals. The comprehensive installation directions for setting up the environment are supplied in the LMS and will be discussed during the session. If you have any questions, the 24 hour support crew will be happy to help.

We will assist you in installing and configuring a virtual machine with Ubuntu as the client using the Installation Guide for Practical. The comprehensive installation directions for setting up the environment are supplied in the LMS and will be discussed during the session. If you have any questions, the 24 hour support crew will be happy to help.

Selenium Certification

You will complete a real-world project at the end of your study. You will be given a Problem Statement as well as a data set to work with.

Once you have completed the project satisfactorily (as determined by an expert), you will be issued a certificate with a performance-based grade.

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