The first edition of this book appeared in 1991 when the technology was new and there were
not too many products. In the Preface to the first edition, we had quoted Michael Stonebraker …

Until a decade ago, the database world was all SQL, distributed, sometimes replicated, and
fully consistent. Then, web and cloud applications emerged that need to deal with complex …

The blooming of different data stores has made polystores a major topic in the cloud and big
data landscape. As the amount of data grows rapidly, it becomes critical to exploit the …

The advent of big data technologies has changed the way many companies manage their
data. Several companies moved their data to the cloud using the concept of database‐as‐a …

To produce quality results from artificial intelligence (AI) pipelines, data consistency and
structure must be finely controlled. This control must take into consideration the …

Polystores are of primary importance to tackle the diversity and the volume of Big Data, as
they propose to store data according to specific use cases. Nevertheless, analytics …

As institutions increasingly shift to distributed and containerized application deployments on
remote heterogeneous cloud/cluster infrastructures, the cost and difficulty of efficiently …

Traditionally, applications have used a single database to fulfill their storage requirements.
However, limiting storage to a specific type of database system may result in a compromise …

Après dix ans d'existence, un premier bilan d'étapes de notre revue s' impose. A notre avis,
les valeurs et objectifs qu'elle poursuit correspondent pleinement aux motifs de sa création …

To produce quality results from artificial intelligence (AI) pipelines, data consistency and
structure must be finely controlled. This control must take into consideration the …