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Hands-On Data Analysis with Scala

You're reading from   Hands-On Data Analysis with Scala Perform data collection, processing, manipulation, and visualization with Scala

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Product type Paperback
Published in May 2019
Publisher Packt
ISBN-13 9781789346114
Length 298 pages
Edition 1st Edition
Languages
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Author (1):
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Rajesh Gupta Rajesh Gupta
Author Profile Icon Rajesh Gupta
Rajesh Gupta
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Table of Contents (14) Chapters Close

Preface 1. Section 1: Scala and Data Analysis Life Cycle FREE CHAPTER
2. Scala Overview 3. Data Analysis Life Cycle 4. Data Ingestion 5. Data Exploration and Visualization 6. Applying Statistics and Hypothesis Testing 7. Section 2: Advanced Data Analysis and Machine Learning
8. Introduction to Spark for Distributed Data Analysis 9. Traditional Machine Learning for Data Analysis 10. Section 3: Real-Time Data Analysis and Scalability
11. Near Real-Time Data Analysis Using Streaming 12. Working with Data at Scale 13. Another Book You May Enjoy

Near Real-Time Data Analysis Using Streaming

This chapter introduces another emerging and powerful technique in the field of data analysis—analyzing data in near real time using Streaming technologies. In the previous chapters, we looked at analyzing data that had already been created, using a technique known as batch-oriented data processing.

There are numerous cases where the value of data starts to diminish as the data starts to age. An excellent example of this is an online retailer that tracks customer interaction on its website. Offline batch-oriented analysis of this data to understand customer' behavior and preferences is certainly of great value to the retailer; however, a near real-time analysis of this data could have an even greater impact on the customer's experience. For example, a customer's experience could be made adaptive based on the current...

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