Today’s “big data stack” includes databases, data management and integration software, and data analytics tools—all critical components of an effective operational or analytical data system. But all ...

The modern workforce is no longer bound by location, time zone, or corporate networks. Data engineers, analysts, and business users now access critical systems from home offices, shared workspaces, ...

As AI systems grow more autonomous, Walrus argues that verifiable data infrastructure will determine which systems earn trust.

In the current landscape of pervasive connectivity, data has become an indispensable asset for enterprises, particularly within the automotive sector. According to a 2019 McKinsey & Company report, ...

Microsoft has introduced new AI-driven features within the Microsoft Fabric data platform to accelerate application development and improve other enterprise functions. As 2025 approaches, managing ...

Data management tasks, including data integration, transformation and governance, have always been significantly important for operational and business intelligence purposes. But the need for these ...

A customer relationship management (CRM) system and a customer data platform (CDP) may initially appear to serve similar functions. However, while they certainly share some functionality, they are ...

Consider the last time you wanted to purchase a messaging app for your organization. You may have explored industry-specific websites, read whitepapers, compared product features, evaluated pricing ...