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NoSQL Data Models

You're reading from   NoSQL Data Models Addresses severe issues related to NoSQL data models

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Product type Paperback
Published in Aug 2018
Publisher Wiley
ISBN-13 9781786303646
Length 278 pages
Edition 1st Edition
Languages
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Author (1):
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Olivier Pivert Olivier Pivert
Author Profile Icon Olivier Pivert
Olivier Pivert
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Toc

Table of Contents (11) Chapters Close

Preface
1 NoSQL Languages and Systems 2 Distributed SPARQL Query Processing: a Case Study with Apache Spark FREE CHAPTER 3 Doing Web Data: from Dataset Recommendation to Data Linking 4 Big Data Integration in Cloud Environments: Requirements, Solutions and Challenges 5 Querying RDF Data: a Multigraph-based Approach 6 Fuzzy Preference Queries to NoSQL Graph Databases 7 Relevant Filtering in a Distributed Content-based Publish/Subscribe System List of Authors
Index
End User License Agreement

4.1. Introduction

Over the past years, two important concepts have emerged in the computing world: Big Data and Cloud Computing. According to the NIST Big Data Public Working Group1, Big Data is data that exceed the capacity or capability of current or conventional methods and systems. In [ZIK 11], IBM defines the term Big Data as information that cannot be processed or analyzed using traditional processes or tools. It is mainly based on the three-Vs model, where the three Vs refer to the volume, velocity and variety properties. We define these properties as follows:

  • Volume: this denotes the processing of large amounts of information. Over the past decades, several high technologies have appeared and they accompany people in their everyday life. If they can track and record something, they typically do it. For instance, simple actions (e.g. taking your smartphone out of your pocket, checking in for a plane, scanning your badge into work, buying a song on iTunes, etc.) generate...
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