Apache Storm Training in Oxford

Apache Storm Training Course Outline

Module 1: Introduction to Apache Storm

• What is Apache Storm?
• Apache Storm Vs Hadoop
• Use-Cases of Apache Storm
• Apache Storm – Benefits

Module 2: Apache Storm Core Concepts

• Topology
• Tasks
• Workers
• Stream Grouping

Module 3: Storm-Cluster Architecture

• Architecture of Apache Storm Cloud
• Components

Module 4: Apache Storm Workflow

• Workflow of Apache Storm
• Modes in a Storm Cluster

Module 5: Distributed Messaging System

• What is Distributed Messaging System?
• Thrift Protocol

Module 6: Apache Storm – Installation

• Step 1: Verifying Java Installation
• Step 2: ZooKeeper Framework Installation
• Step 3: Apache Storm Framework Installation

Module 7: Apache Storm Working Example

• Scenario – Mobile Call Log Analyser
• Spout Creation
• Bolt Creation
• Call log Creator Bolt
• Call log Counter Bolt
• Creating Topology
• Local Cluster
• Building and Running the Application
• Non-JVM languages

Module 8: Apache Storm Trident

• Trident Topology
• Trident Tuples
• Trident Spout
• Trident Operations
• State Maintenance
• Distributed RPC
• When to Use Trident?
• Working Example of Trident
• Building and Running the Application

Module 9: Apache Storm in Twitter

• Twitter
• Hashtag Reader Bolt
• Hashtag Counter Bolt
• Submitting a Topology
• Building and Running the Application

Module 10: Apache Storm in Yahoo! Finance

• Spout Creation
• Bolt Creation
• Submitting a Topology
• Building and Running the Application

Module 11: Apache Storm Applications

• Klout
• Weather Channel
• Telecom Industry

Who should attend this Apache Storm Training Course?

The Apache Storm Course is designed for individuals who wish to enhance their expertise in real-time data processing and stream processing using the Apache Storm framework. This course can benefit a wide range of professionals, including:

• Data Scientists
• Data Engineers
• Software Developers
• Database Administrators
• IT Professionals
• Technical Managers
• System Architects

Prerequisites of the Apache Storm Training Course

There are no formal prerequisites for this Apache Storm Training Course. However, prior knowledge of Java programming would be beneficial.

Apache Storm Training Course Overview

In today's data-driven world, Apache Storm stands out as a powerful open-source stream processing framework. This essential tool empowers organisations to efficiently handle massive data streams, providing real-time insights crucial for informed decision-making. In an age where data holds supreme importance, this course is designed to equip individuals with the expertise needed to unlock Apache Storm's potential, positioning them as invaluable assets in industries driven by data.

Proficiency in Apache Storm is indispensable for professionals working in data engineering, data science, and data analytics. It's equally relevant for software developers and architects seeking to build real-time data processing applications as data becomes the lifeblood of businesses. Those who master Storm gain a competitive edge, enabling them to design efficient, real-time data pipelines and derive actionable insights from incoming streams.

This intensive 1-day training empowers delegates with the expertise needed to harness the full potential of Apache Storm. Delegates will gain hands-on experience in setting up Storm clusters, designing topologies, and processing real-time data efficiently. They'll learn best practices and troubleshooting techniques, ensuring they can contribute effectively to real-time data processing projects from day one.

Apache Storm Course Objectives

• To understand the core concepts of Apache Storm and its role in real-time data processing
• To learn how to set up and configure Storm clusters for optimal performance
• To design and develop Storm topologies for processing real-time data streams
• To implement data spouts and bolts to ingest and manipulate data within Storm
• To explore real-world use cases and best practices for Storm-based solutions
• To ensure fault tolerance and scalability in Storm applications

Upon completing this Apache Storm Training, delegates will gain a deep understanding of stream processing, enabling them to harness real-time data insights for informed decision-making. This expertise will not only enhance their career prospects but also make them valuable contributors in data-driven industries, providing a competitive edge in a rapidly evolving professional landscape.

Skills Gained from Apache Storm Training

Apache Storm Training in in Oxford by The Knowledge Academy, one of the largest training providers, helps professionals process and analyse high-velocity data streams using real-time distributed processing frameworks that support continuous data flow and event handling.

Learners can obtain the skills such as: 

• Storm Cluster Setup Skills: Install and configure Storm clusters with supporting components such as ZooKeeper for stable operations. 
• Topology Designing: Design and manage Storm topologies to control how streaming data flows through processing components. 
• Spout and Bolt Implementation: Build and configure spouts and bolts to ingest, transform, and process streaming data efficiently. 
• Distributed Messaging Integration: Apply distributed messaging concepts and protocols to integrate streaming data sources into Storm applications. 
• Stream Workflow Management: Manage data workflows, tasks, and workers to organise real-time processing pipelines. 
• Trident State Management: Use Storm Trident to manage state, perform aggregations, and support advanced stream processing operations. 

What’s included in this Apache Storm Training Course?

• World-Class Training Sessions from Experienced Instructors
• Apache Storm Certificate
• Digital Delegate Pack