Big data is a general term for technologies that are build to store, process and analyze data using cloud infrastructure. Traditional data repositories such as data warehouses were capable of using very large arrays of physical storage but had limitations. Big data techniques have no such limitations as they are designed to use unlimited numbers of machines using distributed processing techniques.
Data storage, processing and analysis techniques designed for cloud infrastructure.
Removes both processing and storage limitations for data processing and analysis. In practice, limitations do exist due to costs constraints for access to cloud infrastructure such as data centers.
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A reasonably comprehensive list of information technologies.
A list of gamification techniques.
A list of common IT problems.
The basic types of cloud computing.
The common types of machine data.
The common types of software.
A definition of proprietary technology with examples.
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The difference between systems and applications explained.
An overview of problem solving with examples.
A list of thinking approaches and types.
A definition of workaround with examples.
A list of common creative thinking techniques.
A list of common types of problems.
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The definition of the arrow of time with examples.
An overview of common business problems.
The definition of decision framing with examples.
The common types of research.
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