It’s amazing how quickly Data Product joined Metadata, Data Quality, and Data Governance as a functionally useless term. Consult ten different sources and you’ll get fifteen different definitions. A Data Product is variously defined as: The theory of applying a product mindset to data sets. Any tool or application that Read more…
A previous article established that the primary expectation of Data Product consumers is Reliability. This week we’ll look more closely at how we can provide that reliability. The five responsibilities of a Data Product provider are Content, Curation, Catalog, Certification, and Maintenance. Content: Data Products are created to satisfy anticipated and/or Read more…
Once you hear the question you can’t unhear it, and you can’t help but think about it. Last month I completed my third tour of duty as an Elder at Germantown Presbyterian Church. It was also my turn to give the devotional that opened the Session meeting. The focus was Read more…
With increased recognition that the new AI models and applications need high-quality, well understood data, Data Products are enjoying renewed attention. The concept has been fleshed out in recent years with definitions, reference architectures, and platforms. They consist of …. Actually, let’s not worry about what Data Products consist of. Read more…