big data


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Related to big data: Big Data analytics

big data

pl n
(Electronics) computing data held in such large amounts that it can be difficult to process
References in periodicals archive ?
A CEO panel group discussion at the forum highlighted the value and challenges of big data in shipping.
Building on the success of the inaugural edition of its big data forum last year, Bahri, a global leader in transportation and logistics, hosted industry leaders and technology experts at the second edition of the annual event, which was held in Dubai, United Arab Emirates.
Oracle today announced three major enhancements to Oracle Big Data Platform Cloud.
Due to significant growth in big data technologies such as tools for data orchestration, data mining and analysing volumes of structured and unstructured data, adoption of big data in various industries has increased significantly.
Financial providers have looked for ways to leverage the power of Big Data by implementing new digital ecosystems intended to take advantage of increased data volume.
The authors attempt to define the term as it relates to auditing, providing examples of the benefits and obstacles to integrating big data into the audit practice of the future.
13] propose that big data helps in discovering precious decisions by appreciative the data patterns and the association connecting them with the help of machine learning algorithms.
Big Data Computing: A Guide for Business and Technology Managers
USPRwire, Wed Feb 08 2017] South East Asia has been seeing increasingly aggressive growth in the Big Data scene in the past years with much focus driven to understand the concept of Big Data as a powerful tool in deriving insights through the analysis of the data and the competitive benefits it brings through differentiation.
5% of firms now have at least one big data project in production.
Congratulations--you've both added to and exemplified the state of Big Data in 2017.
Big data services have created a new computational paradigm shift in data system architecture across horizontally-coupled resources to achieve the scalability needed for the efficient processing of extensive datasets (Anderson, 2008; Mayer Schonberger & Cukier, 2013; Weinberger, 2012).