The Modern Data Stack: Why It Should Matter to Data Practitioners
In the rapidly evolving data landscape, data practitioners face a plethora of concepts and architectures. Data mesh argues for a…
data warehouse
O*NET Data Warehousing Specialist Survey
The O*NET Data Collection Program, which is sponsored by the U.S. Department of Labor, is seeking the input of expert…
Architecture for the Data Lake
For a while now, vendors have been advocating that people put their data in a data lake when they put…
Are Data Lakehouses Secure and the Best of Both Worlds?
As we enter a new cloud-first era, advancements in technology have helped companies capture and capitalize on data as much…
Inmon Architecture Versus Kimball Architecture – Revisited
Introduction We are living in the age of a data revolution, and more corporations are realizing that to lead—or in…
Metadata-Driven Data Warehouses are Ideal
A metadata-driven data warehouse (MDW) offers a modern approach that is designed to make EDW development much more simplified and faster. It makes use of metadata (data…
Data Warehouse Teams Adapt to Be Data Driven
When companies embark on a journey of becoming data-driven, usually, this goes hand in and with using new technologies and…
O*NET Call to Action – Data Warehouse Specialist Role
The O*NET Data Collection Program, which is sponsored by the U.S. Department of Labor, is seeking the input of expert…
Ask the Data Governance Coach: Data Governance over a Data Lake?
There is currently a lot of excitement about data lakes and the possibilities that they offer, particularly about the analytics…
How to Do Top-Down, Big-Picture Modeling – Part 2
This paper forms the second part of a big-picture top-down data modeling trilogy. The first paper on why to take…