In my earlier post, I wrote about how Waterline uses a combination of data profiling with machine learning to create a new process called data fingerprinting that automatically tags columns of data with the appropriate business term regardless of the technical column name. An additional […]Read More
Looking at Atlas and Navigator? Do You Need a Metadata Repository or Do You Really Need a Data Catalog?
I have been having a lot of conversations lately with organizations that are implementing “Big Data” and have seen many organizations consider using Atlas or Navigator as their “data catalog” of choice for data governance. Because this topic has been coming up so much, I think it is time to discuss why those technologies are not sufficient as a data catalog or for solving real enterprise data governance problems.Read More
Currently there are tens of thousands of analysts, researchers and data scientists all requiring access to data in order to do their jobs. But finding, provisioning and governing that data is not only difficult. It can be very expensive.Read More
The challenge: most organizations are relying on the street light method to find data. They’re searching for data only where they can see, where there is already a streetlight shining. That is not necessarily where the data is actually located. Instead, it’s often hidden in the shadows where there is no light. The result: they don’t know what data is even available.Read More
Most industry analysts talk about data catalogs as if they are just a simple database of metadata with a search user interface on them. The use of the UI is mainly associated with self-service analytics, helping data analysts and data scientists find the data they […]Read More