data fast


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data fast

A period of time without using any high-tech device. A data fast may be any designated time at the end of the day or weekend or even a vacation without bringing along a computing device. A total data fast includes the elimination of the cellphone. See information overload.
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As a result, the challenge for many projects is now providing the data fast enough to feed the data analysis pipelines central to AI.
In view of the fact that these technologies encompass "such a broad reach of functionality and impact to the individual", and will confront us with many "unique and nuanced situations", he predicts that organisations "won't be able to collect data fast enough unless they take the open-source route".
By linking field data collection hardware to a supercomputing system, E4D-RT can process data fast enough to provide this imaging in real-time--something other commercial ERT programs can't do.
When 80% of agents surveyed for a Celent report admit that they are having trouble analyzing data fast enough to meet customer demands, it's clear that these technologies can play an important role in empowering both customers and agents.
This ultra-compact and low-power feature enables high-speed system boot-up while transferring data fast. The Slim SATA series uses four mounting holes to securely fix it inside the computing platform with screws.
Even with thousands of volunteers entering information from scanned documents, the church can't process the data fast enough.
For instance, it would be well within the principles of net neutrality to serve the first GB of a user's data fast, and the second GB of data slower.
Actionable Intelligence: A Guide to Delivering Business Results with Big Data Fast isn't just about making charts and graphs to visualize big data, but discusses how to begin with a business foundation and how to use big data to apply actionable goals to this data.
The need already exists to process petabytes worth of data fast and with low overhead.
One of the major factors contributing to poor application performance lies in the inability of the traditional relational database to access, process, analyze and integrate data fast enough to meet business needs and customer expectations.
"This is the formula for fast and broad adoption, where customers can get consistent, accurate and useful data fast -- in weeks, not months or years."