As so many enterprises confidently add an “s” to their “year” of experience in cloud computing, some traditional IT architecture concepts are beginning to pop back up. These concepts can ...

Traditional database architecture was created when software and systems were deployed in a relatively centralized and static environment, often in a single data center.

The AI-powered open lakehouse has become a strategic imperative, transitioning traditional data management to unified, interoperable, and intelligent data foundations.

From traditional data warehouses and data lakes to next-generation data platforms such as the data lakehouse, data mesh, and data fabric, a strong data architecture strategy is critical to supporting ...

Data architecture, however, spans the organization and takes a high-level, holistic view, whereas data modeling focuses on specific systems or business cases. In any case, the architecture or ...

Data lakehouse architecture combines the best of cloud data lake and warehousing architectures to give teams ... Databricks has focused on building capabilities around traditional data warehouses.

Qlik Launches Open Lakehouse to Break Through Traditional Data Architecture Limits. The fully managed Apache Iceberg solution delivers real-time scale, 5x faster queries, and cross-engine access ...