In this lab, you will take advantage of Azure HDInsight to perform machine learning in big data scenarios
Estimated time required to complete: 1 hours, 30 minutes
You will have access to this environment for 3 hours, 20 minutes
Learning Credits Required: 10
Exercise 1: Provision an HDInsight cluster
In this exercise, you will learn to provision an HDInsight cluster. You will then learn to connect to the cluster and navigate the hdfs file system.
Exercise 2: Use HDInsight for MapReduce and Spark jobs
This exercise will introduce you to executing code and applications on HDInsight. You will first execute a map reduce job against your cluster. Then you will learn to run Python code using PySpark and submit Python applications to Spark. You will also learn to download result sets for further analysis.
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