Becoming truly data-driven requires more than adopting new tools-it demands clear alignment between business goals and data architecture. At Data Summit 2026, John O'Brien, principal advisor and ...

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 ...

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 ...

Right now, AI technologies are not just enhancing existing technology portfolios—they are reshaping how organizations think about modern data architecture, elevating modernization from a competitive ...

Get an overview of JDBC's architecture, then learn how to connect to a database and handle SQL queries and responses with PreparedStatements, transactions, connection pooling, and more. JDBC (Java ...

AI may be the visible goal, but data architecture is what determines whether that goal can actually be achieved.

IEEE research highlights multi-model databases outperform single-model systems, reducing AI costs, latency, and schema issues ...

Warehouse-native access is emerging as the fastest, safest path to unified customer intelligence. It isn't without its challenges. As customer data platforms (CDPs) continue to evolve, zero-copy ...