Why Information Taxonomy Must Represent the Landscape of the Business
In the online world, a great deal of misunderstanding has developed regarding the term “taxonomy.” Originally used to describe biological classifications, the term has been
In the online world, a great deal of misunderstanding has developed regarding the term “taxonomy.” Originally used to describe biological classifications, the term has been
ETL is giving way to ELT. Why does it matter? Because data preparation remains one of the toughest obstacles that a data-aware organization must overcome.
If you’re focused on digital transformation, you’ll know that to build a truly customer-centred culture, you need the right customer data. We can get richer,
I’m always very encouraged when professionals from different architectural disciplines can converge on common ground. This can be rare event, so when it does happen,
In a digital world where data lives everywhere, enterprise data catalogs are an invaluable asset in your information architecture. Over the past two years, I
Schneider Electric Chief Digital Officer Herve Coureil sat down with TechRepulic’s Dan Patterson and talked about practical uses for AI in business. The following is
There was a time when containers weren’t considered an industry changing effort but over a period of time, container platforms like Kubernetes is becoming the
There’s a well-known argument around data architecture versus information architecture. And the question often asked is: Are they the same thing? Enterprise architect and Microsoft
The General Data Protection Regulation is now the most comprehensive data protection decree in the world. Though chiefly drafted to empower residents of the European
Companies have been sold on the alchemy of data science. They have been promised transformative results. They modeled their expectations after their favorite digital-born companies.
Now that many companies find themselves with expansive data lakes in this era of big data, what should they do to keep these information reservoirs from coagulating into
These days, organizations are creating and storing massive amounts of data, and in theory this data can be used to drive business decisions through application