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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

Data extraction

Data extraction or delivery is the act of making raw data available to an enterprise system for usage. This raw data could be originating from a system outside of the enterprise or could have been created by an internal system. There are two ways in which data can be delivered:

  • Pull: Data is fetched by the data consumer from the source system
  • Push: The data producer delivers the data to the consumer

Both of these mechanisms are used extensively in enterprises for exchanging data. The majority of legacy systems and applications use a pull-based approach for data delivery; however, with the growing need of near real-time availability of data, there is a shift toward push-based data delivery.

Let's look at both of these mechanisms in more detail.

Pull-oriented...

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