Many engineering teams still rely on architecture optimized for transactional apps, not for AI systems that mix structured and unstructured data and live event streams. This legacy architecture has ...

Today’s “big data stack” includes databases, data management and integration software, and data analytics tools—all critical components of an effective operational or analytical data system. But all ...

For the past decade, enterprises have equated data accumulation with progress. Organizations invested heavily in lakes, warehouses and pipelines, assuming that more data would naturally lead to better ...

I recently had the honor of attending the Zoho Analyst Summit along with 64 other analysts and influencers. Aside from being a great event and beautifully run by the Zoho management team, it sparked a ...

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 ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now The launch of ChatGPT two years ago was ...

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 ...

In 1962, sci-fi writer Arthur C. Clarke famously said, "Any sufficiently advanced technology is indistinguishable from magic." That year, the Atlas computer—the fastest in the world at the ...

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 ...