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Mastering Apache Storm

You're reading from   Mastering Apache Storm Real-time big data streaming using Kafka, Hbase and Redis

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Product type Paperback
Published in Aug 2017
Publisher
ISBN-13 9781787125636
Length 284 pages
Edition 1st Edition
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Author (1):
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Ankit Jain Ankit Jain
Author Profile Icon Ankit Jain
Ankit Jain
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Table of Contents (13) Chapters Close

Preface 1. Real-Time Processing and Storm Introduction FREE CHAPTER 2. Storm Deployment, Topology Development, and Topology Options 3. Storm Parallelism and Data Partitioning 4. Trident Introduction 5. Trident Topology and Uses 6. Storm Scheduler 7. Monitoring of Storm Cluster 8. Integration of Storm and Kafka 9. Storm and Hadoop Integration 10. Storm Integration with Redis, Elasticsearch, and HBase 11. Apache Log Processing with Storm 12. Twitter Tweet Collection and Machine Learning

Exploring machine learning

Machine learning is a branch of applied computer science in which we build models of real-world phenomenon based on existing data available for analysis, and then using that model, predicting certain characteristics of data never seen before by the model. Machine learning has become a very important component of real-time applications as decisions need to be made in real time.

Graphically, the process of machine learning can be represented by the following figure:

The process of building the model from data is called training in machine learning terminology. Training can happen in real time on a stream of data or it can be done on historical data. When the training is done in real time, the model evolves over time with the changed data. This kind of learning is referred to as online learning, and when the model is updated every once in a while, by running...

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