'data computing' is a correct and usable phrase in written English.
It is a term used to describe the practice and science of collecting, organizing, and analyzing data to extract useful information. For example, "Data computing is essential to marketing research; it allows us to gain insights into consumer behaviors and the effectiveness of our campaigns."
There is a discussion of the underlying theory, followed by an explanation of the computational approach, including methods of partitioning the data computing the sequential distributions, and compactifying to reduce memory requirements.
Owen [ 9] and Huang and Gelman [ 7] propose a computational strategy, akin to a Bayesian meta regression, based on sampling the data, computing separate posterior distributions based on each sample, and then combining these to get a consensus posterior inference.
The private sector is the leader in many applications of big data computing.
The federal government is beginning a major research initiative in big data computing.
The co-founder, Siraj Khaliq, worked in distributed computing, which involves apportioning big data computing problems across multiple machines.
The report is based on a survey of 60 Forrester clients who are using or experimenting with big data computing.
Boris Evelson, a Forrester analyst and coauthor of the report, with Brian Hopkins, explained that big-data computing differs fundamentally from using other data-analysis tools, like business intelligence and data warehousing software.
It's a legacy problem being addressed by the vast data-computing and analytics capabilities that come with the cloud.
Furthermore, last October IBM and 21Vianet, the largest carrier-neutral Internet data center provider in in China, teamed up to provide data-computing services there.
We can see that the recent years have seen a significant interest in adapting current methods to work on Big Data computing paradigms for imbalanced data.
The company is making a bundle of product announcements on Thursday that address the security challenges of mobile, cloud and Big Data computing, and I.B.M. is applying its own data analysis expertise to attack the data-security problem.
