DataOps

Humanity’s fight against Coronavirus depends on the speed and precision with which we can take…

What is Stream Processing? Stream processing is the processing of event data in real-time or…

In order to grow successfully, companies need to leverage DataOps to better manage data teams….

Nexla Release 1.4 Highlights Manage data pipelines in the new Data Flows view Allow services…

An Introduction to Big Data Formats Innovative, data-centric companies are increasingly relying on big data…

It’s time for the DataOps Assessment—learn how your company’s DataOps compares to others along the…

Welcome back to Let’s Talk DataOps! In this series, we interview the leading thinkers in…

Welcome to the latest installment of our interview series, “Let’s Talk DataOps.” In this series…

Every retailer today is digital. Whether you’re a direct-to-consumer digital brand or a 100-year old merchant with an impressive real estate footprint, data is becoming more and more important to your growth. However, harnessing data to drive business value is no easy feat. It can lead to a jumble of messy integrations that break and cause distraction. “Data Operations” is term to describe all the grunt work that has to happen before data can turn into real business value. Streamlining these Data Operations has become a requirement—not just for the retailer’s sanity, but for her bottom line.