Apache Storm 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.

Apache Storm 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
  • Big Data
  • Hadoop
  • Batch Processing
  • Real-time analytics
  • Storm origin
  • Architecture
  • Comparison with Hadoop and Spark
  • Big Data use cases
  • Real vs Batch Processing
  • Why Apache Storm.
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
  • 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
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
  • 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
  • Apache Storm components (Spout & Bolts)
  • Creation of basic Topology in Apache Storm
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
  • 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
  • Basics of Apache Kafka
  • Kafka Spout in Apache Storm
  • 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.
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.
  • Trident Design
  • Trident in Storm
  • RQ Class, Coordinator, Emitter bolt
  • Committer Bolts, Partitioned Transactional Spouts
  • Transaction Topologies
  • Implementing Trident topology
  • Twitter Data Analysis using Trident
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
  • Product Catalog management system
  • Familiar with Apache Storm
  • 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.


Apache Storm 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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Course Content

Time: 10 weeks

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