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spark-weatheranalysis's Introduction

Abstract

Apache Spark is used on NOAA weather data from 2008-2012. Highest temperature is recorded. Performance analysis indicates speedup of about 3x on multiple nodes.

Implementation

PySpark is used to map the data by isolating the air temperature recording. Then reduce is used to compare values to find the highest.

Testing Methodology

Testing is run on a single EOS machine as a baseline. By default, the Spark output provides timing of program execution; these numbers are recorded and graphed. Tests were run on a single node and on a twenty node cluster.

Discussion

Significant speedup is observed when running on multiple nodes. Apache Spark's ability to distribute the workload is very effective across large data sets.

Conclusion

Spark is an effective platform for both data analysis on large data sets - with the ability to scale calculation up by adding machines to a cluster.

spark-weatheranalysis's People

Watchers

James Cloos avatar Brett VanderHaar avatar

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