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 ...

In an era where data is a strategic asset, organizations often falter not because they lack data—but because their architecture doesn’t scale with their needs. Leaders must design data ecosystems that ...

To meet the needs of the digital economy of the 2020s, data architecture has evolved into a dif­ferent animal than it was 10, or even 5, years ago. Most notably, there are three trends that have ...

A headless data architecture means no longer having to coordinate multiple copies of data and being free to use whatever processing or query engine is most suitable for the job. Here’s how it works.

Data is the lifeblood of modern enterprises. From gaining necessary insights into customer behavior and streamlining organizational processes to making effective business decisions, data is now a ...

Radiant Advisors' John O'Brien explained modern data architecture at Data Summit Connect Fall 2020, presented by DBTA and Big Data Quarterly. There are a lot of components to a modern data ...

The age of data-driven work is here. Virtually all employees today say they are expected to work with data on the job to some extent, from retail employees needing to keep tabs on sales and supply ...

First, there was a data warehouse – an information storage architecture that allowed structured data to be archived for specific business intelligence purposes and reporting. The concept of the data ...

The redesign of data pipelines, models, and governance frameworks is integral in facilitating the adoption of automation across asset servicing. Through re-engineering — which usually involves ...