Input from theCUBE and data practitioner communities suggests that acceleration in compute performance and the sophistication of the modern data stack is outpacing the needs of many traditional ...

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 ...

The term “modern data stack” is commonly used to define the ecosystem of technologies surrounding cloud data platforms. To date, the concept of a semantic layer hasn’t been formalized within ...

There are numerous reasons why organizations pursue a "modern data stack." Some aim to move away from a "silos and spaghetti architecture" described in "Future Ready," while others aim to ...

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.

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

The impact has been profound. However, one area where the role of LLMs isn’t discussed as much is the modern data stack. Data is the key to high-performance large language models. When these ...

Thanks to the preponderance of cooking shows in the UK and United States, most of us are familiar with the basic steps required to feed our family and friends: find the ingredients, prepare them ...

The next time you get a response from an AI assistant within seconds, take a moment to appreciate what's happening behind the ...

These integrations build on Alation’s Open Connector Framework and enable organizations to gain insights across the modern data stack while empowering users to leverage data and AI for sustained ...