Building Python Real-Time Applications with Storm

Nonfiction, Computers, Programming, Programming Languages, Internet
Cover of the book Building Python Real-Time Applications with Storm by Kartik Bhatnagar, Barry Hart, Packt Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Kartik Bhatnagar, Barry Hart ISBN: 9781784392871
Publisher: Packt Publishing Publication: August 6, 2016
Imprint: Packt Publishing Language: English
Author: Kartik Bhatnagar, Barry Hart
ISBN: 9781784392871
Publisher: Packt Publishing
Publication: August 6, 2016
Imprint: Packt Publishing
Language: English

Learn to process massive real-time data streams using Storm and Python—no Java required!

About This Book

  • Learn to use Apache Storm and the Python Petrel library to build distributed applications that process large streams of data
  • Explore sample applications in real-time and analyze them in the popular NoSQL databases MongoDB and Redis
  • Discover how to apply software development best practices to improve performance, productivity, and quality in your Storm projects

Who This Book Is For

This book is intended for Python developers who want to benefit from Storm's real-time data processing capabilities. If you are new to Python, you'll benefit from the attention to key supporting tools and techniques such as automated testing, virtual environments, and logging. If you're an experienced Python developer, you'll appreciate the thorough and detailed examples

What You Will Learn

  • Install Storm and learn about the prerequisites
  • Get to know the components of a Storm topology and how to control the flow of data between them
  • Ingest Twitter data directly into Storm
  • Use Storm with MongoDB and Redis
  • Build topologies and run them in Storm
  • Use an interactive graphical debugger to debug your topology as it's running in Storm
  • Test your topology components outside of Storm
  • Configure your topology using YAML

In Detail

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.

Style and approach

This book takes an easy-to-follow and a practical approach to help you understand all the concepts related to Storm and Python.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Learn to process massive real-time data streams using Storm and Python—no Java required!

About This Book

Who This Book Is For

This book is intended for Python developers who want to benefit from Storm's real-time data processing capabilities. If you are new to Python, you'll benefit from the attention to key supporting tools and techniques such as automated testing, virtual environments, and logging. If you're an experienced Python developer, you'll appreciate the thorough and detailed examples

What You Will Learn

In Detail

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.

Style and approach

This book takes an easy-to-follow and a practical approach to help you understand all the concepts related to Storm and Python.

More books from Packt Publishing

Cover of the book Netduino Home Automation Projects by Kartik Bhatnagar, Barry Hart
Cover of the book Expert GeoServer by Kartik Bhatnagar, Barry Hart
Cover of the book Mastering Unit Testing Using Mockito and JUnit by Kartik Bhatnagar, Barry Hart
Cover of the book (MCTS): Microsoft BizTalk Server 2010 (70-595) Certification Guide by Kartik Bhatnagar, Barry Hart
Cover of the book Oracle E-Business Suite R12 Integration and OA Framework Development and Extension Cookbook by Kartik Bhatnagar, Barry Hart
Cover of the book Windows Server 2012 Hyper-V Cookbook by Kartik Bhatnagar, Barry Hart
Cover of the book Magento 1.8 Development Cookbook by Kartik Bhatnagar, Barry Hart
Cover of the book Mastering Lumion 3D by Kartik Bhatnagar, Barry Hart
Cover of the book Raspberry Pi for Secret Agents - Second Edition by Kartik Bhatnagar, Barry Hart
Cover of the book Articulate Studio Cookbook by Kartik Bhatnagar, Barry Hart
Cover of the book Microsoft SharePoint 2010 Power User Cookbook: SharePoint Applied by Kartik Bhatnagar, Barry Hart
Cover of the book OpenGL Development Cookbook by Kartik Bhatnagar, Barry Hart
Cover of the book Hands-On Penetration Testing with Kali NetHunter by Kartik Bhatnagar, Barry Hart
Cover of the book Enterprise Internet of Things Handbook by Kartik Bhatnagar, Barry Hart
Cover of the book Blender 3D: Architecture, Buildings, and Scenery by Kartik Bhatnagar, Barry Hart
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy