IBM Data magazine — the forum for smarter business — spotlights its 2014 transformations and selected strategies-focused features
Big data analytics often drive bet-the-business applications. As such, the underlying platform must weather the extremes that their environments may throw at them. This endurance includes expected extremes in both the physical environments in which big-data analytics platforms are deployed and in the resource requirements of the workloads that execute on these platforms.
Big data is all about pushing the performance envelopes for data applications to the max.
Organizations should evaluate their intentions when engaging models for profiling customers
It’s been a year of sustained growth for IBM Data magazine.
Expertise can become a sustainable business resource if you bake it into your operational best practices for data management and analytics.
Organizations must manage their data with industrial discipline and repeatability.
New frontiers sometimes emerge when we have new tools for exploring established frontiers.
As cognitive systems such as Watson emulate modes of thought, will they extend innate, human cognition?
What we have for you this week in IBM Data magazine is a significantly improved experience.
Analysts, researchers, data scientists, and other professionals face new challenges in the era of big data. But big data and analytics are opening up a lot of tremendous opportunities. In IBM Data magazine the week of October 20, 2014, new contributor Suresh Sane starts his two-part series on the past, present, and future of query-optimization best practices in the era of big data. Jennifer Shin provides the third of her four-part series on the US Food and Drug Administration’s open-data …
Employing ensemble-based crowdsourcing can confidently identify best-fit models