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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

Data Analysis Life Cycle

Data is ubiquitous, and is increasingly playing a significant role in every aspect of our lives, from helping us to make informed decisions to building intelligent systems.

Data is created when a computer system captures and records some kind of observation or activity; this is true of any example of data being electronically recorded, from something as simple as an Internet of Things (IoT) device recording temperature at a given point in time at a specific location to something more complex, such as a human being completing an online purchase. In this context, we can think of data as a raw material consisting of information of value.

This raw data in itself could be extremely useful. Interesting insights can be obtained by processing this data and combining it with other types of data. Data processing helps turn this information into insights that can...

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