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NoSQL Data Models
By :
NoSQL Data Models
By:
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)
Preface
Free Chapter
1 NoSQL Languages and Systems
2 Distributed SPARQL Query Processing: a Case Study with Apache Spark
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
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