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 ...

George Fraser, is today’s modern data stack out over its skis with respect to the sophistication and scale of the platform relative to the vast majority of workload requirements running out there?

While the term “modern data stack” is frequently used, there are many representations of what it means. In my opinion, Matt Bornstein, Jennifer Li and Martin Casado from Andreessen Horowitz ...

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

Generally speaking, the modern data stack is about leveraging cloud resources to more effectively analyze complex streaming data. Image Credits: Ashish Kakran, Thomvest Ventures.

REDWOOD CITY, Calif., Sept. 22, 2022 — Alation Inc., a leader in enterprise data intelligence solutions, today announced a strategic partnership with Fivetran, the global leader in modern data ...

This week - the modern data stack is trending, but data quality remains a sticking point. Developers put generative AI to the hands-on test, but IT pros still need to get out more. To reach today's ...

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 ...

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.

LLMs transforming the data stack. Data is the key to high-performance large language models. When these models are trained correctly, they can help teams work with their data — whether it is ...