The Book Look: Designing Data Products: The Data Products Series Volume I
Data products are a very important part of modern data architecture. Author Mario Meir-Huber is writing a trilogy on data products, where Volume 1 is about designing…
data architecture
Preparing CRM Data for AI: Architecture, Quality, and Governance Considerations
Many enterprise AI initiatives continue to struggle — with 95% failing to deliver ROI due to inadequate data infrastructure and 70% of organizations reporting minimal positive…
How to Build a Robust Data Architecture for Scalable Business Growth
In the digital age, businesses rely on high-quality, easily accessible data to guide all manner of decisions and encourage growth.…
The Book Look: Data Interoperability
Dave Wells is a thought leader and influencer in the world of data. Early on in his role as TDWI…
Understanding Data Pipelines: Why They Matter, and How to Build Them
Building effective data pipelines is critical for organizations seeking to transform raw research data into actionable insights. Businesses rely on…
The Anatomy of AI Trust in Your Data Stack
As artificial intelligence (AI) progresses from offering suggestions to making autonomous decisions, organizations face a fundamental trust challenge: Can you…
Data Speaks for Itself: The Enterprise Architecture Medical Clinic
Note: For this issue, I have invited one of my students as a special guest contributor, Jason Minton, to be…
A Practical Approach to Data Mesh Implementation
It’s easy to make the case for building a data mesh within your business. By enabling a decentralized approach to…
Data Is Risky Business: Structured, Unstructured (Who Cares?)
The Irish satirist Jonathan Swift wrote “Gulliver’s Travels” almost 300 years ago, but the story of Lemuel Gulliver’s journey to…
Scalability in Data Engineering: Preparing Your Infrastructure for Digital Transformation
In the present era of data-centricity, institutions are amassing an immense amount of information at an unparalleled pace. This inundation…