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.

What are data integration and data analytics, and why is data integration such a key component of companies’ data analytics workflows? Read more in our article.

Too many teams focus on the movement of data and creating data pipelines without aligning those activities to business outcomes.

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....

Organizations need to consider their business and technology requirements to ensure they select the right level of support for implementation success.

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