There’s a growing number of large-scale enterprises that need to perform targeted data analytics on multiple data sources. The integration of data from multiple sources is a challenging task. Data virtualization presents a modern approach to data integration. Unlike ETL solutions that replicate data, data virtualization leaves the data...
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Data Scientists are often in need of data from many datasets to get proper insights for their AI / ML needs. Even if they figure out the location of their datasets, accessing, transforming and having the ability to store in a single place for frequent access is often difficult and time intensive. With Denodo Platform, you can easily...
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Promesses et défis de la migration de vos données vers le cloud : assurer l'agilité, la sécurité et la souveraineté des données (French)
De plus en plus d'organisations adoptent des stratégies hybrides ou multi-cloud pour favoriser la flexibilité nécessaire au sein de leur architecture, la réduction des coûts et l'optimisation des performances. Il en résulte une architecture distribuée qui rend plus difficile la recherche et l'accès aux données nécessaires à l'...
At the rate which enterprise data volume is increasing, replicating data to a central repository for analysis purposes is slow and expensive which might not even be a necessary part of the data integration process in many situations. With technologies such as data virtualization, companies can now place a single secure virtual layer...
Self service is a major goal of modern data strategists. Denodo’s data catalog is a key piece in Denodo’s portfolio to bridge the gap between the technical data infrastructure and business users. It provides documentation, search, governance and collaboration capabilities, and data exploration wizards. It’s the perfect companion for a...