The goal of data architecture is to translate business needs into data and system requirements, and to manage data and its flow through the enterprise. Many organizations today are looking to ...

Data architecture has to link to the organisation’s data strategy, and its data lifecycle – but it also relies on sound data management. Often, organisations split their data architecture into ...

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

What information lifecycle management (ILM) seeks to do is to apply various technologies and ... to less expensive tape or other detachable media as its value changes over time. See also: Applying the ...

The lifecycle includes researching its architecture ... A considerable amount of blockchain development focuses on information architecture, that is, how the database is actually to be structured ...

Artificial intelligence (AI) is revolutionizing data engineering, reshaping how information is collected, transformed, ...

It also handles the complete life cycle of smaller models. DataPilot, on the other hand, is a data architecture tool that leverages large models to enable intelligent and fully automated data modeling ...

Image created using AI under the prompt: A futuristic architectural landscape exemplifying data-driven architecture ... and throughout the life cycle of a building. Therefore, it is important ...

The IC’s data reference architecture consists of four principles ... “We’ve got to get the mission side making better decisions upfront about the data as it goes through its lifecycle, because they ...

“When I first saw ChatGPT I had an existential crisis. I wondered if my work would become obsolete. But that’s not true,” Earley said. “There’s no AI without information architecture.” GenAI is making ...