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  2. Data-intensive computing - Wikipedia

    en.wikipedia.org/wiki/Data-intensive_computing

    Parallel processing of compute-intensive applications typically involves parallelizing individual algorithms within an application process, and decomposing the overall application process into separate tasks, which can then be executed in parallel on an appropriate computing platform to achieve overall higher performance than serial processing.

  3. Data processing - Wikipedia

    en.wikipedia.org/wiki/Data_processing

    Data processing is the collection and manipulation of digital data to produce meaningful information. [1] Data processing is a form of information processing , which is the modification (processing) of information in any manner detectable by an observer.

  4. Note-taking - Wikipedia

    en.wikipedia.org/wiki/Note-taking

    Linear note-taking is the process of recording information in the order in which you receive it. Linear notes are typically chronological outlines of a lecture or a text. Linear note taking is a common means of taking notes, however, the potential to just transcribe everything that is being said or on the presentation slide is quite high.

  5. Extract, transform, load - Wikipedia

    en.wikipedia.org/wiki/Extract,_transform,_load

    This approach allows processing to take maximum advantage of parallelism. For example, if you need to load data into two databases, you can run the loads in parallel (instead of loading into the first – and then replicating into the second). Sometimes processing must take place sequentially.

  6. Data and information visualization - Wikipedia

    en.wikipedia.org/wiki/Data_and_information...

    For example, it may require significant time and effort ("attentive processing") to identify the number of times the digit "5" appears in a series of numbers; but if that digit is different in size, orientation, or color, instances of the digit can be noted quickly through pre-attentive processing. [38] Compelling graphics take advantage of pre ...

  7. Data parallelism - Wikipedia

    en.wikipedia.org/wiki/Data_parallelism

    Exploitation of the concept of data parallelism started in 1960s with the development of the Solomon machine. [1] The Solomon machine, also called a vector processor, was developed to expedite the performance of mathematical operations by working on a large data array (operating on multiple data in consecutive time steps).

  8. What happens to your investment accounts after you die? - AOL

    www.aol.com/finance/what-happens-to-investment...

    Transfer-on-death and direct beneficiary designations typically move fastest, while inheritances through wills must usually go through probate first. Confirm your beneficiary status.

  9. Heuristic-systematic model of information processing - Wikipedia

    en.wikipedia.org/wiki/Heuristic-systematic_model...

    With heuristic processing, there is less need to process information and cognitively in comparison to systematic processing. Heuristic processing occurs when people simply form immediate decisions and conclusions based on the information available versus analytical processing of information given that obviously requires more cognition.

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