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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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Toc

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

Cost considerations

As the size of data grows, there are many factors to consider to manage costs effectively. Some of the costs associated with data are direct, while others are indirect. A clear and well-defined data strategy plays a central role in managing these costs and maximizing the value of data.

There are multiple points of view to consider when looking at the cost:

  • Data storage
  • Data governance

Data storage

Not at all data is created equal. Some types of data have more value than the others. The value of data might also be sensitive to its age and might start to decrease as the data ages. At the same time, some data is accessed more frequently than others. All of these factors, and many more, determine how the...

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