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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

Reliability considerations

Processing large datasets requires reliability to be looked at from a slightly different point of view. It is quite common to have a small percentage of errors in such large datasets. An acceptable error tolerance level can only be defined by business rules. Large datasets are generally processed by a network of computers, where failures are more common compared to processing on a single computer. In this section, we will look at the following aspects of error handling:

  • Input data errors
  • Processing failures

Input data errors

As a general guideline, it is crucial to measure and monitor the number of errors in the input data over time. If the quality of the input data is bad, then any analysis performed...

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