Deal with Real Datasets: How to Treat Data Assets to Create Business Value

In this presentation, Pietro Guardati shows an example of how companies can treat proprietary data to create business value—from the storage of raw records to the deployment of a new containerized application—describing the development of an automated MLOps pipeline. In particular, the focus is put on which data engineering skills are required in order to satisfy the requests of product owners, offering suggestions about software tools, libraries and learning resources.

Pietro Guardati, Data Engineer @ Kpler
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