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In this video we are discussing summarization pattern and its types
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We know that in case of big data we are supposed to deal with huge amount of data
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So to get one conclusive result, we are supposed to accumulate data of the same type
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and then we shall apply some statistical function on them so that we can get some summary
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Statistical function means we can go for average, you can go for sum, count, median calculations
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mode calculations and other details. So let us go for the details about this summarization pattern
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and its different types. So what is summarization pattern? Nowadays the data are large and
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vast and to get a clean and summarized view of the data, we should use summarization design
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pattern So this summarization design pattern will give us a summary a conclusive result from a huge set of data so in this patterns we can gather similar data together and then perform the counting and statistical related tasks on it like our finding the standard
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division, mode, the variance, the finding the average, etc. For an example, if a group
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wants to know about how much time visitors are spending on their website, they need to use
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this summarization task on the request. dataset and this is one of the applications where you can apply this summarization design pattern
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types of summarization pattern there are various types of summarization patterns are present
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and in this section we shall discuss mainly three major types of summarization patterns and they are
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numerical summarization pattern inverted index pattern counting with counters so let us discuss all
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this different categories and types in our next videos for your better understanding
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Thanks for watching this
