An open data architecture eliminates silos and allows data teams to collaborate on the same ... DevOps monitoring, FinTech, AgriTech, application monitoring and much more. Some common examples of time ...

A headless data architecture means no longer having to coordinate multiple copies of data and being free to use whatever processing or query engine is most suitable for the job. Here’s how it works.

The technology, which enables rapid business transformation, requires a new data layer—one built for speed, scale, and ...

For example, TD Banknorth began paying much more attention to data architecture as it entered Stage 3. “You need to put real resources into evolving and planning it,” says Petrey.

Data architecture, however, ... For example, Andreessen Horowitz recently estimated that across the top 50 public companies, $100 billion is lost in market value due to cloud waste.

For example, if we can auto-discover and identify all parts of a company’s data sources, such as [through the use of] a smart discovery catalog that can feed into an integrator that can start syncing ...

Expanding types and volumes of data will drive the need to manage that data closer to the source. For example, Edge computing’s expansion into new industries and functions is accelerating the shift.

Here are eight examples of data centres from Power House: The Architecture of Data Centres, an exhibition at Roca London Gallery.

For example, I’ve seen AI-powered extract, transform and load (ETL) pipelines reduce data ingestion times from hours to minutes, enabling near-real-time analytics. A few of the components of AI ...