EFFICIENT COMPUTING OF OLAP IN BIG DATA WAREHOUSE

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jigna patel
Dr. Priyanka Sharma

Abstract

With the wide and fast development of tools and technology in big data era, new challenges in development of OLAP and data warehousing took place. To manage big data, distributed environment and Hadoop framework are only the solution. Exponentially increasing data create scalability issue in any model, map reduce programming model resolves that problem. Using these technologies we present series of algorithms combined in our model OOH(Olap on Hadoop) . Measures and dimensions are modeled using DET (Dimension encoding Technique) and DTT (Dimension Traversal Technique), so that Rollup and Drilldown operation can be performed well.

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References

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