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Apache Storm Training Course Description

Apache Storm is an open source distributed real-time computation system used with any programming language.

Storm Training is intended to make Storm easily deliverable, understandable, to guide and help learners up-skill themselves. Storm makes it easy to write and scale complex real-time computations on a cluster of computers, executing real-time processing what Hadoop does for batch processing. Storm guarantees that every message will be processed.

Pincorps Apache Storm course is designed to provide knowledge and skills for real-time analytics of wide variety of streamed data. In our training, you learn the concepts of Storm like streams, spouts, bolts, and topologies, Developing and testing topologies using Storm’s local mode, Deploying topologies on Storm clusters, How Storm achieves fault-tolerance and guarantees data processing, Computing intense functions on the fly in parallel using Distributed RPC, Making real-time computations idempotent using transactional topologies.


Apache Storm Course Learning Outcomes;

  • Master core concepts of Storm and Storm architecture.
  • Setup of multi-node Storm cluster.
  • Process streaming data efficiently.
  • Gain knowledge on spout and bolt.
  • Grasp fundamental concepts like Tuple, Trident.
  • Learn development of real-time Storm applications.
  • Work on various business problems related to Storm.
  • Develop real-time live Storm Project


Apache Storm Training – Suggested Audience

Apache Storm tutorial is aimed at professionals who are looking to make their career in real time Computation system “ Apache Storm” should go for this course. Suggested attendees based on our past programs are:

  • Software Developers
  • ETL Developers
  • Project Managers
  • Data Analysts
  • Big Data professionals
  • BI Professionals


Apache Storm Training Prerequisites

  • Knowledge of core java will be helpful.
  • Prior Hadoop knowledge will be added advantage but it is not mandatory to learn Apache Storm.


Apache Storm In-house/Corporate Training

If you have a group of 5-6 participants, apply for in-house training. For commercials please send us an email with group size to

Course Curriculum

Module 1 - About Apache Storm
Introduction and need for Big Data Details 00:00:00
Basics Introduction to Hadoop and its limitations Details 00:00:00
Conventional technologies for real time processing Details 00:00:00
Need for distributed real-time processing engine Details 00:00:00
What is the need of Storm Details 00:00:00
What is Apache Storm Details 00:00:00
Apache storm features and terminologies Details 00:00:00
Internals of Storm architecture Details 00:00:00
Create topologies in Storm Details 00:00:00
Storm data and execution flow Details 00:00:00
Grouping multiple stream together Details 00:00:00
Work on Tuple, Bolt and Spout Details 00:00:00
Bolt normalization Details 00:00:00
Module 2 - Installation and Configuration of Apache Storm
Setup and configuration of environment Details 00:00:00
Deploy Apache storm Details 00:00:00
Testing and troubleshooting Details 00:00:00
Best practices of deployment Details 00:00:00
Module 3 - Advanced Concepts of Storm
Develop applications to process streams of data Details 00:00:00
Grouping of Bolt and Spout Details 00:00:00
Reliable stream processing Details 00:00:00
Connection with different data sources Details 00:00:00
Collecting data from Apache Kafka and process it Details 00:00:00
Life cycle of bolt and best practices Details 00:00:00
Module 4 - Play with Trident
What and why of Trident Details 00:00:00
Trident Spouts and best practices Details 00:00:00
Components of trident spout Details 00:00:00
Work with trident interfaces Details 00:00:00
Play with Trident filtering and aggregation Details 00:00:00
Module 5 - Dive into Storm Programming
Develop complex applications for real-time processing Details 00:00:00
Best practices of stream data processing Details 00:00:00
Deploy application on multi-node cluster Details 00:00:00
Best practices for different deployments Details 00:00:00
Module 6 - Real Life Project
Live real life project based on industry use-case Details 00:00:00

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