Discover how Sriram Jasti implements zero-downtime data engineering using AI automation and fault-tolerant architecture to ...

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 ...

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), ...

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

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

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

Sharing data from design to the field can improve reliability, but it raises other questions for which there are no clear answers today. SE: How can the industry ensure system-level reliability in ...

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 ...

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