BIG DATA

Analyze call center data quickly and easily with drill-down processing. Read Bill Inmon's advice on using data to improve your call center's performance.

Better data literacy helps support better data pipeline development due to increased knowledge across the organization.

Data assets can be leveraged across business domains, making it easier to share costs and increase benefits. Instead of limiting data access or increasing the number of silos, a more...

Bill Inmon discusses various end-user expectations for building a new computer system and how the data warehouse architecture can fulfill these expectations.

Prominent data scientist Bill Inmon returns to the Integrate.io blog with some thoughts on the ultimate goals of data warehousing, and how data mesh fits in.

Want to build a technical architecture in your enterprise? Bill Inmon says you need to define it first! Read his insights here.

The data mesh approach was coined by Zhamak Dehghani - director of emerging technologies at Thoughtworks - as an alternative solution to the monolithic infrastructures that most organizations currently use.

Bill Inmon says a data warehouse can exist in multiple physical platforms as long as it follows the principles of the system of record.

This article will serve as the ultimate guide to data lineage for beginners as well as experienced professionals. But first, let’s talk more about what this lineage is.