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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

4.5. Unified data model and query languages

4.5.1. Introduction

The cornerstone of multiple data store integration solutions is some kind of unified data model. The latter is used to define what is commonly referred to as the “global” schema. This schema provides developers with transparent access to the different data stores. The definition of such a global schema has been widely addressed in the context of the relational data model, of the object-oriented data model [CAR 95] and of the semi-structured data models [PAP 95, MCH 97] (including XML-based data models). In all cases, the global schema is the result of an integration process which produces one single schema from several ones. This is a very complex process, especially when the data models are heterogeneous and when the number of data stores to integrate is high. To support the heterogeneity of the data models, a generic model is chosen that has enough expressivity to describe all of the varieties of the input...

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