Question: Figure 1 : MapReduce based interative programmingThis challenge is caused by the fact that Hadoop is design to utilize the storage space in thecluster. However,
Figure : MapReduce based interative programmingThis challenge is caused by the fact that Hadoop is design to utilize the storage space in thecluster. However, each MapReduce program requires to output the data into the hard drive. Thefeature leads to a large amount of readwrite of HDFS which significantly limits the performance.Spark ProgrammingThe spark system implements the Resilient Distributed Dataset RDD to maximize the memoryspace in the cluster. With RDD most of the operation is done in the memory To develop a KMeans algorithm in spark, you just need to transform the previous RDD into anew one for the next interation.Programming in Lab In this lab, please, based on your previous code, inplement the KMeans algorithm, you can useany spark related library package Part : Please redo Project Part Question with different levels of parallelism, You can change parallelism level by adding one line in the test.shconf spark.default.parallelismafter sparksubmit to set parallelism level to Part : Please redo Project Part Question Part : Please redo Project Bonus Question KMeans in SparkInstalling the spark cluster GitHub Link.Grading RubricUp to students in a group. Part ; Part and Report;
Figure : Hadoop vs Spark
To develop a KMeans algorithm in spark, you just need to transform the previous RDD into a
new one for the next interation.
Programming in Lab
In this lab, please, based on your previous code, inplement the KMeans algorithm, you can use
any spark related library package.
Part : Please redo Project Part Question with different levels of parallelism,
You can change parallelism level by adding one line in the
test.sh conf spark.default.parallelism
after sparksubmit to set parallelism level to
Part : Please redo Project Part Question
Part : Please redo Project Bonus Question KMeans in Spark
Installing the spark cluster GitHub Link.
Grading Rubric
Up to students in a group.
Part ;
Part and
Report;
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