Data architects visualize and design an organization's enterprise data management framework, aligned with enterprise strategy and business architecture. Topics IT Operations ...

Building an analytics architecture for unstructured data and multimodal AI brandpost By Ganesh Kumar Gella, Sr. Director, Engineering, Google BigQuery Generative AI Initiatives Jun 11, 2025 5 mins ...

Centralizing your data, they argue, makes it easier to apply machine learning and other advanced analytics to get more useful information out of your data. But this strategy is faulty. Centralized ...

To gain business value from data, enterprises need to get their data architecture right – and the right business leadership and culture is critical to that.

Data architecture translates business needs into ... Real-time analytics. The goal of many modern data architectures is to deliver real-time analytics — the ability ... Secure AI by Design: ...

The data lake has become accepted as an important component of a modern data architecture, enabling a wider variety of data to be accessed by users. Yet, challenges persist. Recently, John O'Brien, ...

Traditional architecture and technologies and newer big data approaches each offer advantages. In a session at Data Summit 2019, titled “Designing a Data Architecture for Modern Business Intelligence ...

To succeed, organizations must design adaptable data architecture that seamlessly integrates, enables collaboration and delivers complementary analytics solutions.

The modern data architecture is a pre-integrated, end-to-end solution, delivered in the cloud, with nothing to install. This yields deployment times as much as 40% lower than legacy approaches. But ...

DataCanvas, a Chinese data analytics company, introduced two new products AIFS and DataPilot on June 30. AIFS (AI Foundation Software) is an artificial intelligence application infrastructure platform ...