Data architecture translates business needs into data and system requirements, and seeks to manage data and its flow through the enterprise.

More diverse data estates require a new strategy—and the infrastructure to support it.

3 Keys to a Modern Data Architecture Strategy Fit For Scaling AI From incorporating the modern data stack to defining IT's role and evaluating business objectives, building a data framework for an ...

A modern data architecture permits an organisation’s data to become scalable, accessible, manageable, and analysable with the help of cloud-based services. Furthermore, it ensures compliance with data ...

With a modern data architecture in place, security specialists can gather and catalog data (including lineage, security logs and other governance-related information) and apply relevant security tags.

DBTA held a webinar, 'Building a Next-Generation Data Architecture: Key Capabilities and Strategies,' to uncover the ways in which IT decision-makers and data processionals pilot their data ...

This feature article explores Chitnis's journey and vision through eight themes, from multi-cloud strategy to the rise of data mesh, drawing on his insights and the latest research in the field.

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 ...

Modern data architecture will be one subject of conversation during Cloudera Evolve24, as analysts with theCUBE dive into what's to come next.

Mired in supportive tasks and complex architecture, the true cost is innovation. This is why a company's data architecture is more important than the data itself.