Data Lakes

Preface

This book is part of a series entitled Database and Big Data (DB & BD), the content of which is motivated by the radical and rapid evolution (not to say revolution) of database systems over the last decade. Indeed, since the 1970s – inspired by the relational database model – many research topics have emerged in the database community, such as: deductive databases, object-oriented databases, semi-structured databases, resource description framework (RDF), open data, linked data, data warehouses, data mining and, more recently, cloud computing, NoSQL and Big Data, to name just a few. Currently, the last three issues are increasingly important and attract most research efforts in the domain of databases. Consequently, considering Big Data environments must now be handled in most current applications, the goal of this series is to address some of the latest issues in such environments. By doing so, in addition to reporting on specific recent research results, we aim to provide the readers with evidence that database technology is changing significantly, so as to face important challenges imposed in most applications. 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:

• – efficiency when facing Big Data in a distributed and replicated environment is now a key issue ...