Book Image

NoSQL Data Models

By : Olivier Pivert
Book Image

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)
Preface
8
List of Authors
9
Index
10
End User License Agreement

4.2. Big Data integration requirements in Cloud environments

Most of the data-intensive applications deployed in cloud environments question the “one size fits all” [STO 05] data management principles and promote the use of specialized Cloud data management infrastructures, also known as NoSQL systems. These solutions are able to perform orders of a magnitude that is better than the traditional (and generic) relational DBMS. NoSQL, which stands for Not only SQL, refers to a new generation of data stores. Unlike relational data stores, they are not standardized. Indeed, each NoSQL data store has its own data model, its own query language, its own API, etc. They are mostly open-source, schema-less, largely distributed database systems that enable rapid, ad-hoc organization and analysis of extremely high-volume, disparate data types [SAD 12]. They mainly come from web companies developing very highly intensive web applications such as Facebook, Amazon and Twitter. NoSQL data...