Applying the steel industry example to the modern data stack ecosystem. Below we show a chart to represent the data equivalent of the steel industry in Christensen’s example.

The modern data stack makes this easy by leveraging the scale, reliability and resilience of the cloud. The rules are being rewritten on how data will be used for competitive advantage, and it won ...

Data-driven transformation. A modern data stack is foundational for attaining business outcomes from digital transformation and AI, enabling a business to be data-driven, gain insights faster and ...

Acceldata Data Observability Platform gives enterprises visibility into the reliability, performance, and usage of data platforms, helping to ensure data quality while controlling costs.

While the term “modern data stack” is frequently used, there are many representations of what it means. ... For example: Semantic layers can support natural language query initiatives.

The modern data stack is primarily tool based. It’s made up of data storage, orchestration/workflow engines, data ingestion, business intelligence and a metrics layer, among other things.

But for organizations without a cloud strategy or lacking cloud-native data warehouses, the cost calculations for hybrid-cloud or multi-cloud solutions can be complex. Regardless, the consensus among ...

Lead story - The modern stack has a messy data problem Judging by the platitudes of data management vendors, I thought we had this data quality thing figured out. Not so fast, says Neil Raden, after ...

The notion of what constitutes the modern developer relations stack, as described in part 1 and part 2 of this series, has intrigued me for years. Like so much of the technology I work with, it ...