In this contributed article, Shanif Dhanani, CEO of Apteo, highlights four ways to circumvent the need for big data. While big data can fuel astonishing results, organizations can gain value from “small data” as well.
In this contributed article, Shanif Dhanani, CEO of Apteo, highlights four ways to circumvent the need for big data. While big data can fuel astonishing results, organizations can gain value from “small data” as well.
[SPONSORED GUEST ARTICLE] For years, InfiniBand has been the go-to networking technology for high-performance computing (HPC) and AI workloads due to its low latency and lossless transport. But as AI clusters grow to thousands of GPUs and demand open, scalable infrastructure, the industry is shifting. Leading AI infrastructure providers are increasingly moving ….
This study was designed to document key perceptions, challenges, and successes by focusing on data organization, integration, security, and definitional clarification to address key areas of concern and interest in ongoing data lake adoption. The intent of the survey and this corresponding report is to understand and share the current and planned adoption of technologies in the Hadoop ecosystem, intended specifically for a data lake strategy, and to learn how adopting companies are addressing critical data lake success factors, including rethinking data for the long-term, establishing governance first, and tackling security needs upfront. The survey and report also identify emergent areas of concern and new areas of clarification needed for data lake maturity.
…. HPC and AI providers (have) a challenge and an opportunity. They must reimagine how to secure sensitive data without disrupting performance. They can now leverage new forms of encryption that protect sensitive data while in use without creating friction or lower performance.
