Angela Heath | Data & Info Management Professional
https://datagovernanceonline.com/ Background: I attended the Enterprise Data Governance Online hosted by Dataversity. I've gone several times before and have found it packed with useful information. I would recommend this for anyone working as a governance professional. It is free and runs all day with several 40 minute talks. The first presentation that I came in... Continue Reading →
https://www.shutterstock.com/image-photo/online-shopping-concept-marketplace-website-virtual-2464340279 Earlier this year, I attended a Dataversity demo with an Informatica MDM product and the speaker was asked the question, is a data marketplace the same as a data catalog? In other words, do you need a catalog if you have a marketplace? This question is a commonly asked one as I have been... Continue Reading →
Here is some context to this topic. The other day, someone recently asked me what was the difference between data unification and data democratization? I gave this person the down-and -dirty definition of these two trends in data that have been going on for quite a number of years now. So, below is a quick... Continue Reading →
These are half-day events to "help recreate the exhibit hall experience from our face-to-face conferences to give you the opportunity to learn about the tools and products directly from the vendors."Two vendors lined up for this event: Registration is here: https://content.dataversity.net/MAR24MDMDemoDay_DVRegistration.html
Image Credit - https://www.dama.org/cpages/dmbok-2-wheel-images Data lake, data mesh, data fabric…No matter what the architecture, you still need data governance. Governance is the roles/responsibilities, practices and policies that help to bring "balance to the force" sought of speak. Governance is that all encompassing layer that acts as an umbrella over whatever data architecture is planned and... Continue Reading →
Image from Microsoft: https://learn.microsoft.com/en-us/azure/architecture/data-guide/scenarios/data-lake Data lakes is a really nice idea because one of the problems with storing data is that you tend to store it E-V-E-R-Y-W-H-E-R-E. With a data lake, you throw all of your data into a centralized location for different uses. The centralization at least makes it easier to find the data... Continue Reading →
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