Advancing data architecture for generative AI - SiliconANGLEGenerative artificial intelligence disrupted the enterprise in 2023 and is now a must-have consideration in 2024 plans. With this in ...

In this dynamic data management and AI ecosystem, the challenge becomes how to maximize data flexibility and security.

In development and validation, our focus shifts to the solution and how to bring it to life, starting with creation and ...

Dr. Prakriteswar Santikary, chief data officer at ERT, spoke at Data Architecture Summit 2018 Conference last month about data lake architecture his team developed at their clinical research ...

Enterprise data platforms increasingly unite analytics, governance and orchestration, with new generative and agentic AI-enabled features to improve autonomy and speed.

NoSQL and Hadoop-two foundations of the emerging agile data architecture-have been on the scene for several years now, and, industry observers say, adoption continues to accelerate-especially within ...

Supercloud forecast: the new data architecture requirements - SiliconANGLELast year’s inaugural Supercloud event shed light on the accelerating popularity of multicloud infrastructures as a ...

Edge databases can empower edge data to bring computing and data storage close to data sources, toward sustainability and reduced waste.

An open data architecture eliminates silos and allows data teams to collaborate on the same data, deliver data reliability and easily manage data. This kind of architecture is beneficial for ...

TiDB is a prime example of an intrinsically scalable and reliable distributed SQL database architecture. Here’s how it works.

To meet the needs of the digital economy of the 2020s, data architecture has evolved into a dif­ferent animal than it was 10, or even 5, years ago. Most notably, there are three trends that have ...