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  2. Data synchronization - Wikipedia

    en.wikipedia.org/wiki/Data_synchronization

    Data synchronization is the process of establishing consistency between source and target data stores, and the continuous harmonization of the data over time. It is fundamental to a wide variety of applications, including file synchronization and mobile device synchronization. Data synchronization can also be useful in encryption for ...

  3. Quicken - Wikipedia

    en.wikipedia.org/wiki/Quicken

    Quicken. Quicken is a personal finance management application originally developed and offered by Intuit, Inc. Intuit sold Quicken to H.I.G. Capital in 2016, [1] and H.I.G. sold Quicken to Aquiline Capital Partners in 2021. [2] Quicken runs on Windows and Mac systems, though the data is incompatible between the two versions.

  4. Cloud computing - Wikipedia

    en.wikipedia.org/wiki/Cloud_computing

    Cloud computing[1] is the on-demand availability of computer system resources, especially data storage (cloud storage) and computing power, without direct active management by the user. [2] Large clouds often have functions distributed over multiple locations, each of which is a data center.

  5. Google App Engine - Wikipedia

    en.wikipedia.org/wiki/Google_App_Engine

    Google App Engine (also referred to as GAE or App Engine) is a cloud computing platform used as a service for developing and hosting of web applications. Applications are sandboxed and run across multiple Google-managed servers. [2] GAE supports automatic scaling for web applications, allocating more resources to the web application as the ...

  6. Distributed file system for cloud - Wikipedia

    en.wikipedia.org/wiki/Distributed_file_system...

    Modern data centers must support large, heterogenous environments, consisting of large numbers of computers of varying capacities. Cloud computing coordinates the operation of all such systems, with techniques such as data center networking (DCN), the MapReduce framework, which supports data-intensive computing applications in parallel and distributed systems, and virtualization techniques ...

  7. Data science - Wikipedia

    en.wikipedia.org/wiki/Data_science

    Data science is an interdisciplinary field [10] focused on extracting knowledge from typically large data sets and applying the knowledge and insights from that data to solve problems in a wide range of application domains. The field encompasses preparing data for analysis, formulating data science problems, analyzing data, developing data ...

  8. Google Compute Engine - Wikipedia

    en.wikipedia.org/wiki/Google_Compute_Engine

    Google Compute Engine Unit (GCEU), which is pronounced as GQ, is an abstraction of computing resources. According to Google, 2.75 GCEUs represent the minimum power of one logical core (a hardware hyper-thread ) based on the Sandy Bridge platform.

  9. Data-intensive computing - Wikipedia

    en.wikipedia.org/wiki/Data-intensive_computing

    Data-intensive computing. Data-intensive computing is a class of parallel computing applications which use a data parallel approach to process large volumes of data typically terabytes or petabytes in size and typically referred to as big data. Computing applications that devote most of their execution time to computational requirements are ...