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A Revolutionary In-Memory Big Data Predictive Analytics Language: R

Posted by deepsingularity in Architecture on May 09, 2016 | 73996 comments

Introduction R language is a freeware open to the public for tenacious statistical computing and visualization of sophisticated calculations in a graphical interface for big data and data mining. R is a programming language as well and can integrate with Apache Hadoop and MapReduce. Recently, Microsoft acquired Revolution Analytics that manufacturers R language to integrate it with SQL Server for corporations that run Microsoft products, it would be seamless to plug a...

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The next frontier: Preventive medicine and big data in radiology

Posted by deepsingularity in Architecture on May 09, 2016 | 27250 comments

Abstract This paper examines radiation information technology integrated with big data analytics and building solutions from the clinical trials with business analytics solutions from a list of patients. This paper offers a cautionary tale on the quantum physics, hardware technology, and software technology of the radiation therapy and evaluates the ethical, social, and political issues created by high dose radiation therapy and extraction of data for performing bi...

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SAP HANA Cloud Platform

Posted by deepsingularity in Algorithm on May 09, 2016 | 9572 comments

Introduction Navint Partners, LLC research report shows that Fortune 500 companies are leveraging cloud-based data centers at some scale of magnitude. The traditional data centers are on the path to extinction. The challenges of running databases and applications on cloud-based data centers and on-premise data centers come from economies of flash, economies of scale, and managed services. Some of the in-memory database platforms and big data analytics require procuri...

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The future of the big data

Posted by deepsingularity in Data analytics on May 09, 2016 | 20157 comments

Introduction Big data is everywhere on a much broader scale ushering the dawn of a new age. Gartner’s recent research report highlights that 80% of the data generated by corporations is coming from heterogeneous data sources in disorderly unstructured format. Enterprise and organizational applications produce 20% of the world’s data in a structured format. The traditional technologies no longer have the capabilities to handle such disorderly proliferation of dat...

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