Tales & Tips from the Trenches: Identifying the Right Graph Database – Pt 4
As a Data Management professional, it is important to understand the top three challenges of working with graph databases. Modeling Highly Interconnected Data One of the uniqueness of graph databases...
View ArticleZen and the Art of Data Maintenance: Being Zen With Coronavirus Data
Is it possible to listen without opinion, judgement or stories [i]? In this coronavirus pandemic, many people have strong opinions, judgement, and stories. For example: — “This is ridiculous, and we...
View ArticleData is Risky Business: The Data Crisis Unmasked
As I am writing this, countries around the world are fighting a global pandemic. This is the first global pandemic of the modern information age. There have been a number of epidemics in recent years,...
View ArticleData’s Gender Gap: Women’s Health at Risk
Data’s gender gap manifests and permeates society in a wide variety of detrimental ways. One area where it is the most immediately dangerous is medicine. There is a prevalence of research on most...
View ArticleThe Book Look: New Book on the Data Catalog
About a week ago, I was teaching a data modeling class, and an attendee asked me to explain the concept of a data catalog. Like a lot of hype-related terms in IT, there is more than one definition....
View ArticleZen and The Art of Data Maintenance: What’s the Truth About the Environment?
What is the truth regarding environmental issues and how much is made up? Will our human race, as we know it, come to an end if we don’t take dramatic actions? Is this just hype? Are the issues often...
View ArticleThe Data-Centric Revolution: Data-Centric vs. Centralization
We just finished a conversation with a client who was justifiably proud of having centralized what had previously been a very decentralized business function (in this case, it was HR, but it could have...
View ArticleData’s Gender Gap: The Roots of Data’s Gender Gap
When working with students and educators to address a particular issue, I often have them draw a massive tree. They usually look confused, but always comply. I tell them to jot down the issue in...
View ArticleData Professional Introspective: EDM Education – Part 2 When & How
In our last column, ‘EDM Education – Why, What & Who – Part 1,’ we addressed why EDM Education is needed, what learning objectives it should deliver, and who needs it. In this column, we’ll talk...
View ArticleData’s Gender Gap: How to Address Data’s Gender Gap
In past months, we’ve looked at how our data gathering and analyzing processes skew our cars, medical systems, and many more things to work primarily for men. Following all of this talk about data’s...
View ArticleThe Book Look: Data Storytelling for Data Management
Sometimes I like to read a book purely for pleasure, like a good Dan Brown or Stephen King novel, and sometimes I like to read a book to learn something new. There are not many books that I read for...
View ArticleZen and The Art of Data Maintenance: Data, Politics, and Polarization
An angry mob outside government buildings killed people because of political disagreement. This mob represented one political party and their views were so strong against the other that they committed...
View ArticleThrough the Looking Glass: Data Stewards in the Realm of Gondor
Welcome to “Through the Looking Glass,” my new column on TDAN.com. In this and future columns, I will look at data from diverse and even eccentric perspectives, presenting fresh and sometimes whimsical...
View ArticleData’s Gender Gap: Gender and Infrastructure
Perhaps the most commonly shared and immediately visible example of gender inequity in public spaces is restroom lines. It seems to be a universal experience for those who use the women’s restroom to...
View ArticleData is Risky Business: The Next Normal
Taking Stock A year ago, organisations of all sizes around the world were catapulted into a cycle of digital and data transformation that saw many industries achieve in a matter of weeks in what would...
View ArticleTales & Tips from the Trenches: Demystifying Edge Computing
With increasing number of Internet of Things (IoT) getting connected and the ongoing boom in Artificial Intelligence (AI), Machine Learning (ML), Human Language Technologies (HLT) and other similar...
View ArticleThe Data-Centric Revolution: Fighting Class Proliferation
One of the ideas we promote is elegance in the core data model in a Data-Centric enterprise. This is harder than it sounds. Look at most application-centric data models: you would think they would be...
View ArticleData is Risky Business: The Darker Side of Data Monetization
We have seen an impressive amount of hype and hoopla about “data as an asset” over the past few years. And one of the side effects of the COVID-19 pandemic has been an acceleration of data...
View ArticleData’s Gender Gap: The Burden of Too Much Proof
Previous iterations of this column have looked at the gendered gaps that exist within the data world and how said gaps can begin to be closed, but all of this begs the question: Why is there so much...
View ArticleTales & Tips from the Trenches: Types of and How to use Edge Computing
Edge Computing Types As more and more devices are introduced into networks, the volume of data being transmitted at any point in time has risen exponentially. Edge computing lessens the burden of...
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