The Data-Centric Revolution: Headless BI and the Metrics Layer
Occasionally, I pick up on trends in my peripheral vision. These are trends that aren’t in the center of my…
Data Architecture Columns
Data Architecture Columns
Through the Looking Glass: Suspending Judgement on Synthetic Data
Synthetic Data is, according to Gartner and other industry oracles, “hot, hot, hot.” In fact, according to Gartner, “60 percent…
Data is Risky Business: The Importance of Fundamentals
In my September 2020 Data is Risky Business column for TDAN.com, I wrote about the strategy lessons for data that we…
Data Speaks for Itself: Data Speaks as Product
One of the greatest contributions to the understanding of data quality and data quality management happened in the 1980s when…
Tales & Tips from the Trenches: Edge Computing Challenges and Strategies
This column focuses on challenges of edge computing and explore strategy considerations for implementing and utilizing edge computing in the…
The Book Look: Collecting, Connecting, and Correcting the Dots
I know very few people who specialize in one area of IT/business architecture yet have practical knowledge of how all…
Data Value Chain: Enterprise Data Management (EDM) Framework (Lego Version)
Data driven organizations are innovating faster than ever. Data Science program maturity and processes enablement is one of the reasons…
All in the Data: Governing Data Mesh and Fabric
Data Governance is defined as the execution and enforcement of authority over the management of data and data-related assets.1 The…
Zen and the Art of Data Maintenance: Don’t Integrate, Don’t Separate – Indegrate
One of the most common and important dialogues is when the enterprise data architect expresses the need to integrate and…
Data Value Chain: Analysis-Enable Data Products
In 2021, there were many new use cases that came to life and became viable “data products” due to focus…