Years ago, prior to the advent of Agile Development, a friend of mine worked as a release engineer. His job was to ensure a seamless build and release process for the software development team. He ...

DataOps, or an approach to quickly deliver data and accelerate deployment of analytics solutions, can be a key driver in accelerating data analytics democratization. Though ideal, it's not without ...

Multi-phase deployment brings advanced analytics for mobile and fixed broadband networks, building the foundation for DataOps-driven AI insights and new use cases across group operating companies.

While the promise of DataOps seems strong, it’s important to understand how the two concepts are the same and how they are different. For example, DataOps isn’t just DevOps applied to data analytics.

A fundamental divide between data engineering and business analytics complicates how organizations operate in a rapidly evolving digital environment. Enterprises manage unprecedented volumes of ...

During my tenure at Uber, the company grew from 200 to nearly 20,000 employees. Because of this experience, I learned a few key lessons about how to effectively apply data operations at scale and how ...

Because building reliable data pipelines is hard, and the first step to becoming a data-driven organization is trusting your data. It’s 8 a.m., and a business leader is looking at a financial ...