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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!

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Product type Paperback
Published in Dec 2015
Publisher
ISBN-13 9781784392857
Length 122 pages
Edition 1st Edition
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Chapter 5. Persistence Using Redis and MongoDB

It is often necessary to store tuples in a persistent data store, such as a NoSQL database or a fast key-value cache, in order to perform additional analysis. In this chapter, we will revisit the Twitter trending analysis topology from Chapter 4, Example Topology – Twitter with the help of two popular persistence media: Redis and MongoDB.

Redis (http://redis.io/) is an open source and BSD-licensed advanced key-value cache and store. MongoDB is a cross-platform, document-oriented database (https://www.mongodb.org/).

Here are the two problems that we will solve in this chapter:

  • Finding the top trending tweet topics using Redis
  • Computing hourly aggregates of city mentions using MongoDB
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