Apache STROM Certification Training

Apache Strom Certification Training

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.

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

​Apache Storm is a free and open source, distributed real-time computation system for processing fast.

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Course Curriculum

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Apache Storm Certification Training

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OL Tech Edu's 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.

  • WEEK 5-6
  • 10 Modules
  • 6 Hours
Safe Paced
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:
  • Batch Processing vs Real-time Processing.
  • Aggregating click and impression data from different streams.
  • Trending search on any e-commerce portal.
  • 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 Custer.
  • Various Components of Cluster.
  • Storm Grouping.
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.
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.
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.
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.

Program Syllabus

Curriculum

You can also view the program syllabus by downloading this program Curriculum.

Curriculum

Projects

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.

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.

Course Description

About The Course
About the courseThe 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
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
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
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.
Pre Requisites 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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Features

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Instructor-led Sessions

30 Hours of Online Live Instructor-Led Classes.
Weekend Class : 10 sessions of 3 hours each.

Real Life Case Studies

Real-life Case Studies

Live project based on any of the selected use cases, involving implementation of the various real life solutions / services.

Assignments

Assignments

Each class will be followed by practical assignments.

24 x 7 Expert Support

24 x 7 Expert Support

We have 24x7 online support team to resolve all your technical queries, through ticket based tracking system, for the lifetime.

Certification

Certification

Towards the end of the course, OL Tech Edu certifies you for the course you had enrolled for based on the project you submit.

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