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  • Book Overview & Buying NoSQL Data Models
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NoSQL Data Models

NoSQL Data Models

By : Olivier Pivert
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NoSQL Data Models

NoSQL Data Models

By: Olivier Pivert

Overview of this book

Big Data environments are now to be handled in most current applications, this book addresses the latest issues and hurdles that are encountered in such environments. The book begins by presenting an overview of NoSQL languages and systems. Then, you’ll evaluate SPARQL queries over large RDF datasets and devise a solution that will use the MapReduce framework to process SPARQL graph patterns. Next, you’ll handle the production of web data, generate a set of links between two different datasets and overcome different heterogeneity problems. Moving ahead, you’ll take the multi-graph based approach to overcome challenges faced by the RDF data management community. Finally, you’ll deal with the flexible querying of graph databases and textual data management. By the end of this book, you’ll have gathered essential information on big data challenges faced by NoSQL databases.
Table of Contents (11 chapters)
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Preface
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Preface
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1
1 NoSQL Languages and Systems
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1.1. Introduction
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1.2. Join implementations on top of MapReduce
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1.3. Models for NoSQL languages and systems
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1.4. New challenges for database research
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1.5. Bibliography
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2 Distributed SPARQL Query Processing: a Case Study with Apache Spark
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2.1. Introduction
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2.2. RDF and SPARQL
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2.3. SPARQL query processing
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2.4. SPARQL and MapReduce
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2.5. SPARQL on Apache Spark
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2.6. Bibliography
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3 Doing Web Data: from Dataset Recommendation to Data Linking
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3.1. Introduction
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3.2. Datasets recommendation for data linking
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3.3. Challenges of linking data
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3.4. Techniques applied to the data linking process
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3.5. Conclusion
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3.6. Bibliography
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4 Big Data Integration in Cloud Environments: Requirements, Solutions and Challenges
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4.1. Introduction
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4.2. Big Data integration requirements in Cloud environments
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4.3. Automatic data store selection and discovery
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4.4. Unique access for all data stores
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4.5. Unified data model and query languages
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4.6. Query processing and optimization
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4.7. Summary and open issues
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4.8. Conclusion
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4.9. Bibliography
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5 Querying RDF Data: a Multigraph-based Approach
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5.1. Introduction
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5.2. Related work
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5.3. Background and preliminaries
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5.4. AMBER: a SPARQL querying engine
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5.5. Index construction
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5.6. Query matching procedure
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5.7. Experimental analysis
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5.8. Conclusion
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5.9. Acknowledgment
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5.10. Bibliography
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6 Fuzzy Preference Queries to NoSQL Graph Databases
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6.1. Introduction
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6.2. Preliminary statements
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6.3. Fuzzy preference queries over graph databases
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6.4. Implementation challenges
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6.5. Related work
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6.6. Conclusion and perspectives
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6.7. Acknowledgment
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6.8. Bibliography
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7 Relevant Filtering in a Distributed Content-based Publish/Subscribe System
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7.1. Introduction
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7.2. Related work: novelty and diversity filtering
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7.3. A Publish/Subscribe data model
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7.4. Publish/Subscribe relevance
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7.5. Real-time integration of novelty and diversity
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7.6. TDV updates
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7.7. Experiments
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7.8. Conclusion
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7.9. Bibliography
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List of Authors
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List of Authors
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Index
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Index
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End User License Agreement
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End User License Agreement

6.5. Related work

As several models have been proposed to represent data having an implicit or explicit graph structure (see [ANG 08] for an overview of these models), the literature includes a variety of query languages for graphs. The authors of [ANG 08], [WOO 12] and [BAR 13] proposed complementary surveys of graph query languages defined in the past 25 years, including languages for querying graph-based object databases, semistructured data, social networks and Semantic Web data. The authors of [BAR 13] focused on theoretical query languages for graph databases and emphasized that graph database management systems still lack query languages with a clear syntax and semantics. This is the problem that we addressed here.

Functionalities that should be offered by a language for querying the topology of a crisp graph database are exhibited in [ANG 05, ANG 12, CIG 12, ANG 13, WOO 12]. We summarize these (non-exclusive) functionalities hereafter, focusing on selection statements of the DML...

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NoSQL Data Models
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