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Python Data Science Essentials. - Third Edition

You're reading from Python Data Science Essentials. - Third Edition

Product type Book

Published in Sep 2018

Publisher Packt

ISBN-13 9781789537864

Pages 472 pages

Edition 3rd Edition

Languages

Concepts

Author (1):

Alberto Boschetti

Table of Contents (11) Chapters

Preface

1. First Steps

2. Data Munging

3. The Data Pipeline

4. Machine Learning

5. Visualization, Insights, and Results

6. Social Network Analysis

7. Deep Learning Beyond the Basics

8. Spark for Big Data

9. Strengthen Your Python Foundations

10. Other Books You May Enjoy

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From a standalone machine to a bunch of nodes

Handling big data is not just a matter of size; it's actually a multifaceted phenomenon. In fact, according to the 3V model (volume, velocity and variety), systems operating on big data can be classified using three (orthogonal) criteria:

The first criterion to consider is the velocity that the system achieves to process the data. Although a few years ago, speed was used to indicate how quickly a system was able to process a batch, nowadays, velocity indicates whether a system can provide real-time outputs on streaming data.
The second criterion is volume; that is, how much information is available to be processed. It can be expressed in the number of rows or features, or just a bare count of the bytes. In streaming data, the volume indicates the throughput of data arriving in the system.
The last criterion is variety; that is...

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Authors (1)

Alberto Boschetti

Alberto Boschetti is a data scientist with expertise in signal processing and statistics. He holds a Ph.D. in telecommunication engineering and currently lives and works in London. In his work projects, he faces challenges ranging from natural language processing (NLP) and behavioral analysis to machine learning and distributed processing. He is very passionate about his job and always tries to stay updated about the latest developments in data science technologies, attending meet-ups, conferences, and other events.

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