Sentence examples for analytic requirements from inspiring English sources

The distinction between the data and analytic requirements for these two different types of assessment has not always been recognized.

Therefore, to address these analytic requirements, we detail the application of propensity score weighting to examine the causal effect of rectal bacterial STI on HIV acquisition [ 8].

Big data analytics requirements such as high availability, reliability, and consistency are significant in the development of technological infrastructures.

Data from these sources and consumers is extensively scalable and brings critical analytics requirements for timely decision making.

Green big data analytics is significant in optimizing energy consumption and re-usability of available sources to meet extensive analytics requirements of big data.

So, in addition to energy management, smart grids require great data management to be able to deal with high velocity, important storage capacity and advanced data analytics requirements.

Due to their democratization, Big Data management and processing are no longer only associated to scientific applications with prediction, analytics requirements.

Cloud computing is revealed as a big data analytics technology which offers resource outsourcing in order to avoid physical occupation and thus multiple users with varying analytics requirements can utilize remotely accessible resources.

Traditional data management systems lack the capability to handle big data storage and analytics requirements and thus NoSQL technology is contributing to provide suitable solutions for timely data retrieval and efficient data processing.

The Olympic Committee said that Alibaba will also contribute their cloud computing infrastructure and cloud services "to help the Olympic Games operate more efficiently, effectively and securely, including supporting big data analytics requirements".

From a study by Enterprise Strategy Group at the end of 2012, Olsten [24] discusses that: "44% of enterprise organizations consider their security analytics 'big data' today, while another 44% believe that their security analytics requirements will be regarded as 'big data' within the next two years".