Book Image

Building Python Real-Time Applications with Storm

By : Kartik Bhatnagar, Barry Hart
Book Image

Building Python Real-Time Applications with Storm

By: Kartik Bhatnagar, Barry Hart

Overview of this book

Big data is a trending concept that everyone wants to learn about. With its ability to process all kinds of data in real time, Storm is an important addition to your big data “bag of tricks.” At the same time, Python is one of the fastest-growing programming languages today. It has become a top choice for both data science and everyday application development. Together, Storm and Python enable you to build and deploy real-time big data applications quickly and easily. You will begin with some basic command tutorials to set up storm and learn about its configurations in detail. You will then go through the requirement scenarios to create a Storm cluster. Next, you’ll be provided with an overview of Petrel, followed by an example of Twitter topology and persistence using Redis and MongoDB. Finally, you will build a production-quality Storm topology using development best practices.
Table of Contents (14 chapters)

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.