Название: NoSQL Data Models: Trends and Challenges
Автор: Olivier Pivert
Издательство: Wiley-ISTE
ISBN: 1786303647
Год: 2018
Страниц: 278
Язык: английский
Формат: pdf (true), djvu
Размер: 10.1 MB

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.

More precisely, although relational databases are still commonly used in traditional applications, it is clear that most current Big Data applications cannot be handled by Relational DataBase Management Systems (RDBMSs), mainly because of the following reasons:

– there is a strong need to consider heterogeneous, structured, semistructured or even unstructured data, for which no common schema exists. RBMSs are not flexible enough to handle such variety of data, because these database systems were designed for handling tabular data;

– efficiency when facing Big Data in a distributed and replicated environment is now a key issue that RDBMSs fail to achieve, in particular when it comes to combining large tables.

New database systems have been proposed during the past few years, which are known under the generic term NoSQL Databases. These systems aim to solve the previous two points, and all claim to achieve their goal.