Data Architecture | News, how-tos, features, reviews, and videos
New addition to the platform, says analyst, ‘breaks the Siamese connection between compute and storage.’
Data must be protected no matter where it's stored or how it's being used. Here's how DSPM platforms prevent data breaches—whether the data is stored, in transit, or used by AI.
The future of work requires data teams to lead with data governance, ops, and products that make data reliable and discoverable for business users and use cases.
A significant chasm exists between most organizations’ current data infrastructure capabilities and those necessary to effectively support AI workloads.
AI and other forces are lessening the gravitational pull of public cloud platforms. This trend might be good for enterprises.
More companies are leveraging data fabrics to solve complex data management challenges. Here's what business and IT leaders need to know.
A headless data architecture can unlock unparalleled data access across your entire organization. It starts with a shift left.
Data pipelines are essential for connecting data across systems and platforms. Here's a deep dive into how data pipelines are implemented, what they're used for, and how they're evolving with genAI.
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.
Distributing workloads among various providers offers protection from failure, but make sure your business can handle the complexity and costs.