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Case Study Collibra │ Collibra Data Quality & Observability

In his talk, Michael showcases how Collibra Data Quality & Observability helps to improve the quality of data by learning through observation rather than human input. Collibra DQ applies the latest advancements in data science and machine learning to the problem of data quality, surfacing data issues much faster than traditional, manual approaches.

Michael has spent over 32 years at Oracle in various positions and departments from Product Management to Solution Consultancy, he joined Collibra in early January as a Senior Sales Engineer. At Collilbra, Michael supports our customers in EMEA so that they get access to the data in a quality they need to transform their business into modern digital enterprises.

Michael Schneller
13:55 - 14:25
Vortrag: CSdo6

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