Great question. After all, a Data Product Provider is responsible for: producing the content, ensuring its availability, and validating its correctness collecting the metadata and publishing it through the Data Product Catalog responding to questions and enhancement requests Or, more succinctly: content, curation, catalog, certification, and maintenance. Along the way Read more
Part 1 of the Hidden Costs of Migration introduced the key high-level challenge associated with hardware and software migration projects: They’re not change the business. They’re not run the business. They’re a full stop, with the expectation that progress will be faster when it’s finished. The objective, then, is to offset Read more
“Practical Data” is an occasional series of articles that examines metrics that we encounter in our everyday lives. I take it as axiomatic that government statistics are created and reported to support a political narrative, whatever the narrative happens to be at the time. Data Quality provides an excellent framework Read more
Hardware and software migration projects are like crack for IT executives. Especially when the number on the new invoice is smaller than the number on the old invoice. Even better when the products can be folded into a previously negotiated enterprise agreement and made to appear free. Add to that Read more
… and your data warehouse / data lake / data lakehouse. A few months ago, I talked about how nearly all of our analytics architectures are Stuck in the 1990s. Maybe an executive at your company read that article, and now you have a mandate to “Modernize Analytics.” Let’s say Read more
This week we continue our Data Product dissection by looking at the data itself. What could be more fundamental? After all, it’s in the name! Data Products come in three flavors: Foundational, Composed, and Packaged. It’s important for providers to understand these different types because they are conceived, implemented, and Read more
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