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    Big Data E-Learning Training

    Big data is a field that treats ways to analyze, systematically extract information from, or otherwise deal with data sets that are too large or complex ...

    Big Data E-Learning Training

    Big data is a field that treats ways to analyze, systematically extract information from, or otherwise deal with data sets that are too large or complex to be dealt with by traditional data-processing application software. Data with many fields (columns) offer greater statistical power, while data with higher complexity (more attributes or columns) may lead to a higher false discovery rate. Big data analysis challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy, and data source. Big data was originally associated with three key concepts: volume, variety, and velocity. The analysis of big data presents challenges in sampling, and thus previously allowing for only observations and sampling. Therefore, big data often includes data with sizes that exceed the capacity of traditional software to process within an acceptable time and value.

    Bron: Wikipedia
    Vertaald uit het Engels met Google Translate

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    Big Data Big Data E-Learning
    Big DataBig Data E-Learning

    Bestel deze unieke E-Learning cursus Big Data online, 1 jaar 24/ 7 toegang tot rijke interactieve video’s, voortgangs ...

    Bestel deze unieke E-Lear...

    €129,00 Excl. btw

    Overige categorieën in Zoek op Merknaam

    Big Data

    Big Data E-Learning Training

    Big data is a field that treats ways to analyze, systematically extract information from, or otherwise deal with data sets that are too large or complex to be dealt with by traditional data-processing application software. Data with many fields (columns) offer greater statistical power, while data with higher complexity (more attributes or columns) may lead to a higher false discovery rate. Big data analysis challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy, and data source. Big data was originally associated with three key concepts: volume, variety, and velocity. The analysis of big data presents challenges in sampling, and thus previously allowing for only observations and sampling. Therefore, big data often includes data with sizes that exceed the capacity of traditional software to process within an acceptable time and value.

    Bron: Wikipedia
    Vertaald uit het Engels met Google Translate

    Big Data
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