In a data lakehouse architecture, interoperability between different components such as storage, table formats, catalog layers, and compute engines is essential for making the system operable and maintainable in production environments, and standards enable seamless interoperability across these different elements.
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Interoperability in a Data Lakehouse #cloudera #openlakehouse #shorts #fypAdded:
Now also we are thinking about [music] interoperability in different areas, right? So if you see the lakehouse stack, you know, we have the storage, we have the table format, that the catalog layer is there, the compute engine is there. And and there are like there are services running on top of that, right?
That makes this operable and maintainable in production.
Uh the the point here is that we should be able to be interoperate between different things and and the standard helps us to do that.
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