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Building Python Real time Applications with Storm

You're reading from Building Python Real time Applications with Storm Learn to process massive real-time data streams using Storm and Python—no Java required!

Product type Paperback

Published in Dec 2015

Publisher

ISBN-13 9781784392857

Length 122 pages

Edition 1st Edition

Languages

Python

Tools

Storm

Concepts

Application Development

Table of Contents (9) Chapters

Preface

1. Getting Acquainted with Storm FREE CHAPTER

2. The Storm Anatomy

3. Introducing Petrel

4. Example Topology – Twitter

5. Persistence Using Redis and MongoDB

6. Petrel in Practice

A. Managing Storm Using Supervisord

Index

Chapter 1. Getting Acquainted with Storm

In this chapter, you will get acquainted with the following topics:

An overview of Storm
The "before Storm" era and key features of Storm
Storm cluster modes
Storm installation
Starting various daemons
Playing with Storm configurations

Over the complete course of the chapter, you will learn why Storm is creating a buzz in the industry and why it is relevant in present-day scenarios. What is this real-time computation? We will also explain the different types of Storm's cluster modes, the installation, and the approach to configuration.

You have been reading a chapter from

Building Python Real time Applications with Storm

Published in: Dec 2015

Publisher:

ISBN-13: 9781784392857

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