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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

4.3. Automatic data store selection and discovery

4.3.1. Introduction

Choosing one or multiple data stores based on data requirements is a very important step before integrating heterogeneous data stores and deploying and running applications in a Cloud environment. In this context, requirement R1: automatic data store selection and discovery can be refined in sub-requirements R11: definition of the application needs and requirements towards data, R12: exposure of data stores capabilities and R13: definition of matching and negotiation techniques between the application needs and data store capabilities.

In this section, we present the current state of the art. There are some works which propose only solutions based on the use of models (e.g. contract, manifest, XML schemes, etc.) [CAR 12, SNI 12, ZHA 12]. In general, these solutions are standards used on the Cloud. Their models are used to express the application requirements and the data services capabilities. These solutions do not...

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