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Regular version of the site

Student
Title
Supervisor
Faculty
Educational Programme
Final Grade
Year of Graduation
Ivan Morozov
Performance Evaluation of Apache Spark on Raster Data
Software Engineering
(Bachelor’s programme)
2018
BIG DATA, APACHE SPARK, HDFS, CLUSTER COMPUTING, REMOTE EARTH SENSING,

MICROSOFT AZURE, HDInsight, SCALA, GEOTRELLIS

The object of research - raster data processing operations.

The subject of research - performance evaluation of Apache Spark during spatial operations on remote sensing

images from Landsat 8 satellite.

The research contains such operations as tiling, reprojection, NDVI calculation, pyramid building, spatial

data partitioning and saving data into distributed storage. Spatial operations were implemented using Scala

programming language and GeoTrellis library. Apache Spark cluster was made using Azure HDInsight

The relevance of the study is determined by the development of innovative geospatial data processing system

on the computer science faculty in Higher School of Economics. This brings a need of comparing different cluster

computing systems to demonstrate advantages of the system under development.

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