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.

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.

Organizations succeed in their data journeys when they ensure they develop a strong partnership with their solution providers. Solution providers need to be committed to support and ensuring implementation success...

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.

Data warehousing and data mesh work together to give organizations better and broader data insights and let teams focus on building up data management initiatives tightly aligned to business domains...

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