Rich Data Exploration at Cloud Scale
Rich Data Exploration at Cloud Scale

In today's data-intensive application, variety is the norm, and is likely to remain so for a while. This is because different applications are best served by different kinds of data: traditional commerce-oriented applications use relational databases, Web content management systems handle semistructured documents, sensors provide numerical streams, science applications manipulate arrays, highly heterogeneous data sets is often exported in RDF graphs, software system logs consist of structured text etc.
At the scale and speed of consumption of today's Big Data, unifying data across such formats into a single architecture (approach formerly known as extract-transform-load in a data warehouse context) is no longer feasible. Instead, Cedar aims at inventing expressive models and highly efficient data management tools, focused from the start on Big Data variety. Our tools are designed for deployment in the cloud, and validated at large scale.

Centre(s) inria
Inria Saclay Centre
In partnership with
Institut Polytechnique de Paris,CNRS


Team leader

Michael Barbosa

Team assistant