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Building Python Real-Time Applications with Storm (Paperback)
Loot Price: R867
Discovery Miles 8 670
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Building Python Real-Time Applications with Storm (Paperback)
Expected to ship within 10 - 15 working days
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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.
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