Category: Amazon DataZone

Manage data and AI assets through a unified catalog, granular access controls, and a consistent policy enforcement. Establish trust via automation – boost productivity and innovation for data teams.

Realize visual traceability of data origins, transformations, and usage – bolstering trust, governance, and discoverability for strategic data-driven decisions.

Unify data engineering, analytics, and generative AI in a streamlined studio with enhanced capabilities of Amazon SageMaker.

When Dr. Swami Sivasubramanian, VP of AI and Data, was an intern at Amazon in 2005, Dr. Werner Vogels, CTO of Amazon, was his first manager. Nineteen years later, the two shared a stage at the VivaTech Conference to reflect on Amazon’s history of innovation—from pioneering the pay-as-you-go model with Amazon Web Services (AWS) to […]

I counted only 21 AWS news since last Monday, most of them being Regional expansions of existing services and capabilities. I hope you enjoyed a relatively quiet week, because this one will be busier. This week, we’re welcoming our customers and partners at the Jacob Javits Convention Center for the AWS Summit New York on […]

AWS Summit New York is 10 days away, and I am very excited about the new announcements and more than 170 sessions. There will be A Night Out with AWS event after the summit for professionals from the media and entertainment, gaming, and sports industries who are existing Amazon Web Services (AWS) customers or have […]

Trace data from origin to insights with an intuitive visual graph, empowering engineers, analysts, and admins to validate provenance, troubleshoot pipelines, and ensure governance with ease.

Today is April Fool’s Day. About 10 years ago, some tech companies would joke about an idea that was thought to be fun and unfeasible on April 1st, to the delight of readers. Jeff Barr has also posted seemingly far-fetched ideas on this blog in the past, and some of these have surprisingly come true! […]