Add to ORKGInternational audienceTo prevent data lakes from being invisible and inaccessible to users, an efficient metadata management system is necessary. In this paper, we propose a such system based on a generic and extensible classification of metadata. A metadata conceptual schema which considers different types (structured, semi-structured and unstructured) of raw or processed data is presented. This schema is implemented in two DBMSs (relational and graph) to validate our proposal
International audienceThe rise of big data has revolutionized data exploitation practices and led to...
As the challenge of our time, Big Data still has many research hassles, especially the variety of da...
The aim of the paper is to suggest a formalized data-model-independent language for metadata modelin...
To prevent data lakes from being invisible and inaccessible to users, an efficient metadata manageme...
International audienceOver the past decade, the data lake concept has emerged as an alternative to d...
Metadata have always played a key role in favoring the cooperation of heterogeneous data sources. Th...
The heterogeneity of sources in Big Data systems requires new integration approaches which can handl...
International audienceData lakes have emerged as an alternative to data warehouses for the storage, ...
For more than 30 decades, data warehouses have been considered the only business intelligence storag...
In addition to volume and velocity, Big data is also characterized by its variety. Variety in struct...
In addition to volume and velocity, Big data is also characterized by its variety. Variety in struct...
Although big data is being discussed for some years, it still has many research challenges, such as ...
There is currently a burst of Big Data (BD) processed and stored in huge raw data repositories, comm...
There is currently a burst of Big Data (BD) processed and stored in huge raw data repositories, comm...
Metadata systems are concerned with the management of data which describes other data, whether datas...
International audienceThe rise of big data has revolutionized data exploitation practices and led to...
As the challenge of our time, Big Data still has many research hassles, especially the variety of da...
The aim of the paper is to suggest a formalized data-model-independent language for metadata modelin...
To prevent data lakes from being invisible and inaccessible to users, an efficient metadata manageme...
International audienceOver the past decade, the data lake concept has emerged as an alternative to d...
Metadata have always played a key role in favoring the cooperation of heterogeneous data sources. Th...
The heterogeneity of sources in Big Data systems requires new integration approaches which can handl...
International audienceData lakes have emerged as an alternative to data warehouses for the storage, ...
For more than 30 decades, data warehouses have been considered the only business intelligence storag...
In addition to volume and velocity, Big data is also characterized by its variety. Variety in struct...
In addition to volume and velocity, Big data is also characterized by its variety. Variety in struct...
Although big data is being discussed for some years, it still has many research challenges, such as ...
There is currently a burst of Big Data (BD) processed and stored in huge raw data repositories, comm...
There is currently a burst of Big Data (BD) processed and stored in huge raw data repositories, comm...
Metadata systems are concerned with the management of data which describes other data, whether datas...
International audienceThe rise of big data has revolutionized data exploitation practices and led to...
As the challenge of our time, Big Data still has many research hassles, especially the variety of da...
The aim of the paper is to suggest a formalized data-model-independent language for metadata modelin...