The ad world is laser-focused on data. Brands are trying to identify the data at their fingertips while also determining how much data will be available for their ad campaigns in the future. This is ...

A data dictionary is divided logically into areas. The information is organized into entity types, which correspond to the main data processing components, such as elements, records, files, programs, ...

I was working with a cross-functional information technology and operational technology team from one of the world’s largest makers of home goods. We were discussing how to drive a digital ...

A data dictionary is like a bill of materials for a database; it lists all database components, including reports, tables, field names and field types. Such information helps audit databases for ...

Have data sets scattered all over the place? Here's how to pull them into a single, robust catalog with the pointblank R package and a Quarto document. Do you have data sets scattered all over the ...

If you look at the challenges facing those charged with building platforms to power data-driven companies, we’ve made a lot of progress but vexing questions remain. One of the most important is how to ...

An ICS protocol sniffer has been released to GitHub. OpenICS builds data dictionaries, rather than signatures, from the packets it captures in order to help business leaders make security decisions.

The data assets of the average financial firm are in a constant state of flux. Be it through organic growth, mergers and acquisitions or restructuring, existing departments are perennially reshuffled ...

Naver is accelerating the advancement of its 'knowledge infrastructure,' including dictionaries and encyclopedias. Leveraging its Korean language database (DB) accumulated over the past 20 years, the ...

The ad world is laser-focused on data. Brands are trying to identify the data at their fingertips while also determining how much data will be available for their ad campaigns in the future. This is ...