Data Reliability Engineering (DRE) is the work done to keep data pipelines delivering fresh and high-quality input data to the users and applications that depend on them. The goal of DRE is to allow ...

AI is reducing manual data work, allowing engineers to focus on system design and reliability. Real-time and cloud-based data systems are becomin ...

Lakshmi Narasimha Rohit Madhukar Emani's work demonstrates how aerospace thinking, grounded in validation, optimization, and ...

SAN FRANCISCO--(BUSINESS WIRE)--Bigeye, the creators of the leading data observability platform, today announced the full schedule for the Data Reliability Engineering Conference 2022 (DRE-Con), ...

And the reason for this is because there is so much at stake.” Cars and planes need to be extremely reliable because people ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

Hoang Pham has spent his career trying to ensure that some of the world’s most critical systems don’t fail, including ...

Forbes contributors publish independent expert analyses and insights. I track enterprise software application development & data management. Data engineers engineer. Obviously they do, the clue is in ...

A startup called TensorStax says it’s looking to bring artificial intelligence-powered automation to the unyielding world of data engineering after raising $5 million in seed funding. Today’s round ...

Reliability engineering is a critical discipline that integrates engineering principles with advanced statistical techniques to ensure that products perform consistently over their intended lifespan.