Develop data integration architecture in multicloud deployment. Adopt data observability practices to deliver trusted data management. Comprehensive deployment practices will be must-haves ...

The global distributor decided to take ownership of its security data, liberating engineers and cutting costs.

Artificial intelligence (AI) is moving fast, and the infrastructure that supports it is playing catch-up. If data is the new oil, then many organisations are still drilling with r ...

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.

The first one addressed the concerns of the data management architecture and maps the data management body of knowledge processes to The Open Group Architecture Framework.

Unlike traditional metadata management, active metadata management (AMM) analyzes metadata and delivers timely alerts and recommendations for addressing issues like data pipeline failures and ...

Powerful data architecture that fuels business intelligence across enterpriseIssued by KeyrusJohannesburg, 05 Sep 2025 Powerful cloud data architecture. An investment and service company with ...

Data management and cloud architecture have become critical to drawing value from generative AI, according to research from Informatica.

Conventionally, the steps in the data management architecture typically include enterprise data extraction from operational data repositories and storing them in a raw data lake.

Cloud lock-in and management complexity are two common problems when it comes to big data. Here's how your company can solve them.

The ultimate goal is to balance trended analytics to inform real-time decisions, so the trick is to blend valuable unstructured data into your data management architecture.

From Netflix to Facebook, companies around the world serve millions to billions of internet users with digital products and data center facilities are the backbone of the entire experience.