Listen to this article: I went to my first Teradata Partners User’s Group Conference in 1998 (back then it was the NCR Partners User’s Group Conference). We were considering migrating our data warehouse to Teradata, and a few of us were sent to talk with other Teradata customers. The conversations Read more
This is the second installment of a two-part series about the impact of AI on information management. The first covered Data Quality and Metadata Collection. Data Modeling Nobody at your company is more passionate about understanding the data than your Data Modelers. Unfortunately, too often their work products, while admired Read more
We are at the threshold of the most significant changes in information management, data governance, and analytics since the inventions of the relational database and SQL. At their core, these areas have changed very little over the past thirty years. Most advances have been beneficiaries of Moore’s Law: faster processing, Read more
In the Data Ethics episode of the Rock Bottom Data Feed podcast, our guest Daragh O’Brien made the observation that in our industry we often mix up word sequencing. For example, to him there is no such thing as “Data Ethics.” Rather, there is the application of ethics to data. Read more
When was the last time you ran outside when you heard a car alarm? I remember once driving an old, heavy, muffler-challenged vehicle through a parking garage and setting off every car alarm in my wake. They made a lot of noise, but I don’t remember anybody rushing to the 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
You had blood drawn in the doctor’s office as part of your annual physical and just received a printout with a bunch of numbers. Cholesterol 142. Platelets 203. Glucose 93. And so on. And you probably believe them. Why? Do you even think about it? Consider all of the assumptions Read more
From Day One, data warehouses and their offspring—data marts, operational data stores, data lakes, lakehouses, and the like—have been technological work-arounds. In Building the Data Warehouse, the 1992 book that launched modern decision support, Bill Inmon recognized the need for a decision support architecture that was different from the existing Read more
Important lessons can be learned in one of two ways: the easy way or the hard way. I prefer the easy way, but when it comes to Data Quality, it seems like I’m in the minority. Last week we wondered aloud whether data quality really matters. This week we’ll see a Read more
Maybe we’ve been going about this all wrong. It seems that everybody in the information management field continually emphasizes the importance of Data Quality, and everybody not in the information management field couldn’t care less. Maybe the latter group has it right. After all, product is flowing out and revenue Read more