Big data analytics is the often complex process of examining large and varied data sets, or big data, to uncover information such as hidden patterns, unknown correlations, market trends and customer preferences that can help organizations make informed business decisions. It involves complex applications with elements such as predictive models, statistical algorithms and what-if analysis powered by high-performance analytics systems.
A record trail that accounts for the origin of a piece of data (in a database, document, or repository) together with an explanation of how and why it got to the present place. Databases today do not have a good way of managing provenance data and the subject is an active research area.
Visualisation and explorative data analysis for business users (known as data discovery) have evolved into the hottest business intelligence and analytics topic in today’s market. Interactive and new visualisation types enable decision-makers to see, within an instant, major trends, as well as spot outliers. Visual analysis is an important feature that is increasingly being sought by enterprises seeking more efficient ways for decision-makers to absorb and act on data.
The end user doesn’t usually need to understand or be concerned with the supporting infrastructure and simply utilizes an application. A complex cloud implementation will have several different categories of information about it. These will range from planning and design information to information about the configuration of the cloud to near-real-time data about the cloud. These kinds of data will probably be found in distinct realms and will likely have different representations.
IoT is used across several industries, such as manufacturing, logistics, oil and gas, transportation, energy/utilities, mining and metals, aviation and other industrial sectors and there are use cases which are typical to these industries. Focusing on the optimization of operational efficiency and rationalization/automation/maintenance, with an important role for the convergence of IT and OT, the Industrial Internet of Things.
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