DataOps, an adaptation of what’s traditionally known as DevOps, has evolved into an essential component of modern business operations. DataOps applies the concepts that have fostered more agility and ...

As organizations continue their digital transformation, the demand for timely, consumption-ready data has never been higher. Yet simply adopting data operations tools is not enough to improve data ...

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.

DataOps.live, The Data Products Company, is launching the Dynamic Suite, which includes two new Snowflake Native Apps designed to solve critical data engineering challenges faced by many Snowflake ...

Back in 2006, British mathematician Clive Humby stated that data was the new oil. Like oil, data isn’t useful in its raw state and must be refined, processed, and distributed to deliver value. Nearly ...

Enterprises are adopting agile, responsive data processes to support trusted, reliable implementations of AI and automation, according to new research from global AI-centered technology research and ...

Nagesh Nama, CEO, xLM. Nagesh Nama is a seasoned technology executive with over 30 years of experience in life sciences. My journey into industrial data operations (DataOps) began over two decades ago ...

In this special guest feature, Tobi Knaup, Co-founder and CTO of Mesosphere, believes that most enterprises will need to build and operate production AI systems in order to stay competitive with ...