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.