Optimized Data Aggregations using Secondary Indexes

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Provided by: International Journal for Development of Computer Science & Technology (IJDCST)
Topic: Big Data
Format: PDF
Using vertical and horizontal aggregations construction of data sets is the main progression in present days. Traditionally the authors are developing the data set construction in horizontal aggregation for large data representation process present in data mining applications. In this process they propose to develop three main basic methods, they are SPJ, PIVOT and CASE for generating columns in horizontal tabular layout aided with complicated programming language. Traditionally these methods they developed in primary index based data set construction of the horizontal aggregation.
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