Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

We believe today’s so-called modern data stack, as currently envisioned, will be challenged by emerging use cases and artificial intelligence-infused apps that begin to represent the real world, in ...

The last few years have been a watershed for the modern data stack. Even as it’s being rapidly adopted by data teams, innovation within it continues to accelerate. From the data warehouse to the data ...

Data management has evolved significantly over the last several decades. Years ago, the architecture was much simpler – think Oracle databases running on IBM mainframes, in the form of an on-premise ...

Warehouse-native access is emerging as the fastest, safest path to unified customer intelligence. It isn't without its challenges. As customer data platforms (CDPs) continue to evolve, zero-copy ...

Acceldata Data Observability Platform gives enterprises visibility into the reliability, performance, and usage of data platforms, helping to ensure data quality while controlling costs. You can’t ...

Right now, AI technologies are not just enhancing existing technology portfolios-they are reshaping how organizations think ...

The modern enterprise software landscape demands professionals who can seamlessly navigate the complexities of full-stack ...

The healthcare industry generates about 30% of the world’s data. However, historically this data has been locked in silos and healthcare organizations have failed to generate real-time operational and ...

The redesign of data pipelines, models, and governance frameworks is integral in facilitating the adoption of automation ...