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Apache Storm Certification Training

Apache Storm Certification Training

Name: Apache Storm Certification Training
Item: Apache Storm Certification Training
Rating: 5
Author: Praveen Konkisa

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Apache Storm is an open-source and distributed stream processing computation framework used for processing large volumes of high-velocity data.This training will help you learn reliable real-time data processing capabilities of Storm and, how Storm is different from Hadoop & Kafka. You can smartly use Apache Storm at various place such as Ecommerce, Supply chain, Streaming etc.

6k+ satisfied learners Read Reviews

Why should you take Apache Storm?

Groupon, Twitter and many companies using Apache Storm for business purposes like real-time analytics and micro-batch processing.

Apache Storm is a free and open source, distributed real-time computation syst em for processing fast, large streams of data

The average pay stands at $90,167 USD P.A - Indeed.com

Online self paced classes

Online Self Learning Courses are designed for self-directed training, allowing participants to begin at their convenience with structured training and review exercises to reinforce learning. You'll learn through videos, PPTs and complete assignments, projects and other activities designed to enhance learning outcomes, all at times that are most convenient to you.

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179 199

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Curriculum

Introduction to Big Data and Real Time Big data processing

Goal: In this module, you will learn about Big Data and how it is solving real problems.

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 various use cases of Apache Storm (a) Batch processing vs real-time processing (b) Aggregating click and impression data from different streams (c) Trending search on any e-commerce portal (d) Twitter Streaming

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Storm Installation and groupings

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 Custer
Various Components of Cluster
Storm Grouping

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Storm Spouts & Bolts

Goal: In this module, you will learn more about internal components of Storm and their working. You will be able to use Spouts and bolts and their mechanisms. Different type of Spouts and their working. Lifecycle of bolts and it’s working.

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 given file of various search keywords you have to find top 10 search keywords in last 60 seconds at any moment.

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Kafka Introduction

Goal: In this module, you will learn about Apache Kafka, A highly scalable and widely used event messaging system. How it works and it’s 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.

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Trident Topology

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 its different types, the various Trident Spout interface and components, familiarizing with 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

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Practical of Apache Storm

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

Catalogue management system: You are getting product details and you have to send same data to multiple systems like Solr, Mongo, Cassandra, HDFS or MySQL etc. You have to develop topology which can perform the task.

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Course Description

About the course

The course is designed to introduce you to the concept of Apache Storm and explain the fundamentals of Storm. The course will provide an overview of the structure and mechanism of Storm. Learn about Apache Storm, its architecture and concepts. You will get familiar with Both standalone and cluster setup of Apache Storm. Storm topology, how it can be used in various real-time streaming use cases. Different components of Apache storm which includes Spouts and Bolts. How Storm can be used in Distributed Computing. Difference between Storm and Hadoop. Real-time processing and batch processing. Working on some industrial use cases of Storm.

What are the objectives of this course ?

After completing 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 free and open source distributed real-time computation system. Storm makes it easy to reliably process unbounded streams of data, doing for real-time processing what Hadoop did for batch processing. Storm is simple, can be used with any programming language, and is a lot of fun to use!

Storm has many use cases: real-time analytics, online machine learning, continuous computation, distributed RPC, ETL, and more. Storm is fast: a benchmark clocked it at over a million tuples processed per second per node. It is scalable, fault-tolerant, guarantees your data will be processed, and is easy to set up and operate.

Who should go for this course?

This course is designed for professionals aspiring to make a career in Real-Time Big Data Analytics using Apache Storm and the Hadoop Framework

Software Professionals, Data Scientists, ETL developers and Project Managers are the key beneficiaries of this course.
Other professionals who are looking forward to acquiring a solid foundation of Apache Storm Architecture can also opt for this course.

What are the pre-requisites 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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Certification

Edureka’s Apache Storm Professional Certificate Holders work at 1000s of companies like

Apache Storm Certification Training Certificate

John Doe

Apache Storm Professional

with Grade X

XYZ1234 31st Jul 2024

The Certificate ID can be verified at www.edureka.co/verify to check the authenticity of this certificate

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Testimonial Reviews

Vijay Mani

I had a customer service call with Anupama. She was so good, clear tone and calm during communicatio ... Read More

Avinash

The content explained in detail and extend support. Even Trainers also extend their schedule and cla ... Read More

Praveen KonkisaBI Architect & Hadoop Specialist at Teradata

I have taken Informatica, Hadoop, R-programming, Spark and Scala and several other training's from p ... Read More

Dheerendra YadavProject Lead at HCL Technologies, Ghaziabad, Uttar Pradesh, India

Earlier I had taken training in different technologies from other institutes and companies but no do ... Read More

Vaibhav NitturkarDevOps | Cognitive Computing | Infrastructure Automation

Edureka is providing the best software training I have seen in my 10 years of IT career. I have been ... Read More

Pramod KunjuData Warehouse Guru, Greater Los Angeles Area

I found the big data course from Edureka to be comprehensive, and practical. Course instructor was v ... Read More

Video Reviews

Our learner Balasubramaniam shares his Edureka learning experience and how our training helped him stay updated with evolving technologies.

Sriram speaks about his learning experience with Edureka and how our Hadoop training helped him execute his Big Data project efficiently.

Vinayak shares his Edureka learning experience and how our Big Data training helped him achieve his dream career path.

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Project

What are the system requirements for this course?

The requirement for this course is a system with Intel i3 processor or above, minimum 8GB RAM and 25 GB HDD Storage, Chrome (latest version) / Mozilla with firebug (latest version), Java, Apache Storm and Kafka.

How will I execute the practicals?

For Practical’s, we will help you to install and setup virtual machine with Ubuntu as the client using the Installation Guide. The detailed installation guides are provided in the LMS for setting up the environment and will be addressed during the session. In case you come across any doubt, the 24*7 support team will promptly assist you.

Training Features

Self Paced Learning

You will undergo self-paced learning where you will get an in-depth knowledge of various concepts that will be covered in the course.

Real-life Case Studies

Towards the end of the course, you will be working on a project where you are expected to implement the techniques learnt during the course.

Assignments

Each module will contain practical assignments, which can be completed before going to next module.

Lifetime Access

You will get lifetime access to all the videos,discussion forum and other learning contents inside the Learning Management System.

Certification

edureka certifies you as a expert in Apache Storm based on the project reviewed by our expert panel.

Forum

We have a community forum for all our customers that further facilitates learning through peer interaction and knowledge sharing.

FAQ's

What if I miss a class?

You will never miss a lecture at Edureka! You can choose either of the two options:

View the recorded session of the class available in your LMS.
You can attend the missed session, in any other live batch.

Will I get placement assistance?

To help you in this endeavor, we have added a resume builder tool in your LMS. Now, you will be able to create a winning resume in just 3 easy steps. You will have unlimited access to use these templates across different roles and designations. All you need to do is, log in to your LMS and click on the "create your resume" option.

Can I attend a demo session before enrollment?

We have limited number of participants in a live session to maintain the Quality Standards. So, unfortunately participation in a live class without enrollment is not possible. However, you can go through the sample class recording and it would give you a clear insight about how are the classes conducted, quality of instructors and the level of interaction in a class.

Who are the instructors?

All the instructors at edureka are practitioners from the Industry with minimum 10-12 yrs of relevant IT experience. They are subject matter experts and are trained by edureka for providing an awesome learning experience to the participants.

What if I have more queries?

Just give us a CALL at +91 98702 76459/1844 230 6365 (US Tollfree Number) OR email at sales@edureka.co

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Structure your learning and get a certificate to prove it.

Apache Storm Certification Training

Why should you take Apache Storm?

Online self paced classes

Financing Options

Curriculum

Introduction to Big Data and Real Time Big data processing

Storm Installation and groupings

Storm Spouts & Bolts

Kafka Introduction

Trident Topology

Practical of Apache Storm

Course Description

About the course

What are the objectives of this course ?

Why Learn Storm?

Who should go for this course?

What are the pre-requisites for this course?

Testimonial Reviews

Video Reviews

Project

What are the system requirements for this course?

How will I execute the practicals?

Training Features

Self Paced Learning

Real-life Case Studies

Assignments

Lifetime Access

Certification

Forum

FAQ's

What if I miss a class?

Will I get placement assistance?

Can I attend a demo session before enrollment?

Who are the instructors?

What if I have more queries?

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