NoSQL Data Models: Trends and Challenges [Hardcover]

The topic of NoSQL databases has recently emerged, to face the Big Data challenge, namely the ever increasing volume of data to be handled. It is now recognized that relational databases are not appropriate in this context, implying that new database models and techniques are needed. This book presents recent research works, covering the following basic aspects: semantic data management, graph databases, and big data management in cloud environments. The chapters in this book report on research about the evolution of basic concepts such as data models, query languages, and new challenges regarding implementation issues.

Foreword xi
Anne LAURENT and Dominique LAURENT

Preface xiii
Olivier PIVERT

Chapter 1. NoSQL Languages and Systems 1
Kim NGUYỄN

1.1. Introduction 1

1.1.1. The rise of NoSQL systems and languages 1

1.1.2. Overview of NoSQL concepts 4

1.1.3. Current trends of French research in NoSQL languages 6

1.2. Join implementations on top of MapReduce 7

1.3. Models for NoSQL languages and systems 12

1.4. New challenges for database research 16

1.5. Bibliography 18

Chapter 2. Distributed SPARQL Query Processing: A Case Study with Apache Spark 21
Bernd AMANN, Olivier CURÉ and Hubert NAACKE

2.1. Introduction 21

2.2. RDF and SPARQL 22

2.2.1. RDF framework and data model 22

2.2.2. SPARQL query language 25

2.3. SPARQL query processing 29

2.3.1. SPARQL with and without RDF/S entailment 29