The redesign of data pipelines, models, and governance frameworks is integral in facilitating the adoption of automation ...

With the majority of DBTA subscribers reporting the existence of budgets for modernizing their data platforms, the widespread demand for greater scalability and agility becomes a difficult task to ...

FinFusion Exchange has recently implemented multi-layered optimizations to its platform system architecture and operational ...

Success with a multi-tenant architecture requires the close alignment of design, use case, and underlying technology. Let’s dive into the key design patterns, their benefits, and their challenges.

Right now, AI technologies are not just enhancing existing technology portfolios-they are reshaping how organizations think ...

For years, companies have been moving their most valuable customer data into countless different systems used by marketing, ...

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 ...

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 ...

For healthcare data strategy projects, there are four essential elements to turn aspiration into a plan for recurring contribution margin: value-backed data vision; domain-driven use case selection; ...

Healthcare organizations are awash in data. But not every health system is able to utilize its data in ways that yield actionable insights or opportunities for performance improvement. Without a clear ...