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Affichage des articles du octobre, 2025

Analytics: open middleware for multi-source and multi-target

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  Analytics:   open middleware for  multi-source  and  multi-target Let's imagine that data visualization tools no longer have to manage the complexity of sources? Let's imagine, conversely, that sources no longer have to worry about the diversity of data visualization tools?   With this in mind, we imagined  oa-lake  (and we implemented it in major accounts  ):   an orchestration and unification layer  between data systems and business tools,   based on a distributed columnar & in-memory SQL engine.     {oa-lake}  : upstream interoperability   :  combining sources in a single format  No refactoring required:  oa-lake     understands the sources as they are. This is particularly useful in a context of partial migration, where the same reporting environment still relies on  legacy sources  (Oracle, DB2, etc.) while integrating  modern Cloud databases ...