Add resource "The Pathologies of Big Data" Accepted
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Add The Pathologies of Big Data
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- The Pathologies of Big Data
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- 2009-07-06
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- Scale up your datasets enough and all your apps will come undone. What are the typical problems and where do the bottlenecks generally surface?
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Add Big data
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- Big data
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- 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.
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- https://en.wikipedia.org/?curid=27051151
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Add Big data compared in The Pathologies of Big Data
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Add Artificial intelligence (AI) relates to Big data
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Add Deep learning relates to Big data
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Add Machine learning relates to Big data
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