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?

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 ...

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 ...

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 ...

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.

The impact of the modern data stack on the data strategies of the future and how we get there Implications of this future on how we work with analytics and AI [tc_unified_video code=”2314730e ...

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 ...

The MDX Breakdown In The Modern Data Stack. The issue: While these OLAP cube technologies provide powerful analysis capabilities, they are tied to legacy relational database technologies such as ...

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.