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Storm

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Storm

Overview

This course will teach Apache Storm – a popular event processing framework – to students.

What You Will Learn

  • Concepts & architecture
  • How to install and configure
  • Programming
  • Logging & Metrics
  • Designing Streaming systems

Audience :

Developers

Duration :

two days

Format :

Lectures and hands on labs. (50%   50%)

Prerequisites

  • comfortable with Java programming language (programming exercises are in java)
  • comfortable in Linux environment (be able to navigate Linux command line, edit files using vi / nano)

Lab environment

Zero Install : There is no need to install hadoop software on students’ machines! A lab environment in the cloud will be provided for students.

Students will need the following

  • a SSH client (Linux and Mac already have ssh clients, for Windows Putty is recommended)
  • a browser to access the cluster. We recommend Chrome browser

 

Detailed outline

  • Section 1: Introduction to Streaming Systems
    • Fast data
    • Streaming architecture
    • Lambda architecture
    • Message queues
    • Streaming processors
  • Section 2: Introduction to Storm
    • Architecture
    • Sources / Sinks
    • Tuples
    • Spout
    • Bolts
    • Topologies
  • Section 3 : Programming With Storm
    • Storm Java API
    • Bolt / Spout / Topology APIs
    • Lab : Programming Storm
  • Section 4 : Topology Design
    • Mapping fields
    • Parsing fields in Bolts
    • Scalability and Parallelism
    • Executors and Tasks
    • Creating robust topologies
  • Section 5 : Logging & Metrics
    • Logging in Storm application
    • Metrics : capturing and analyzing
  • Section 6 : Trident
    • Intro to Trident
    • Trident operations
  • Section 7 : Designing and Tuning Storm Systems
    • Kafka & Storm
    • Topology design
    • Tuning Storm systems