BIG DATA

The data architecture is ever-evolving. In the 1990s, organizations used spider web systems and siloed systems to manage data. However, these technologies made it difficult to determine the worth of...

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.

Data Lake has become a necessity rather than a nice-to-have. But that doesn't mean an organization blindly invests in it. Different circumstances warrant the need for a different feature set....

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

Why Do Companies Need a Data Governance Policy? We need data governance frameworks for efficient data management and control. Learn more.

Read Bill Inmon's perspectives about the so-called 'death' of the data warehouse and why this technology is stronger than ever before.

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.