As industrial organizations scale digital transformation initiatives, the ability to reliably move, contextualize, and standardize operational data is critical. Without the right data architecture, ...

Today’s organizations are committed to collecting and analyzing as much data as possible from sources new, old and evolving. But they continue to have variable levels of success distilling and ...

In this special guest feature, Itamar Ben Hemo, CEO of Rivery, discusses commonalities and differences between DevOps and DataOps. Rivery is a DataOps platform that streamlines data integration, ...

Cloud data was supposed to enable AI at scale and democratize data. But how do we cope with the new complexities of distributed data? The emerging discipline of DataOps may help us here - along with ...

As enterprises embrace artificial intelligence (AI), interest in DataOps is rapidly growing. ISG Research predicts that by 2026, over half of enterprises will adopt agile and collaborative DataOps ...

Industry publications and thought leaders have been touting the benefits of composable design for both business and architecture. Andy Vidan, CEO and co-founder, Composable Analytics talked ...