When it comes to business information, chief information officers (CIOs) and chief data officers (CDOs) are tasked with bringing order to chaos. As firms gather ever more data, they face both ...

Data integration is a leading priority for enterprise executives, with 82% of senior executives considering scaling AI a top priority. However, this ambition is frustrated by the longstanding practice ...

Data fabrics have gained importance over the last year as more organizations seek to leverage their data and intellectual property in generative AI solutions. Data fabrics help address the challenges ...

The headless data architecture is the formalization of a data access layer at the center of your organization. Encompassing both streams and tables, it provides consistent data access for both ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Contrary to popular belief, the most meaningful developments in ...

Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis and ...

Five years ago, Databricks coined the term 'data lakehouse' to describe a new type of data architecture that combines a data lake with a data warehouse. That term and data architecture are now ...