Como executar jobs do Apache Spark no Cloud Dataproc avaliações

This code didn't work Py4JavaError on last line: from pyspark.sql import SparkSession, SQLContext, Row gcs_bucket='378837530308' spark = SparkSession.builder.appName("kdd").getOrCreate() sc = spark.sparkContext data_file = "gs://"+gcs_bucket+"//kddcup.data_10_percent.gz" raw_rdd = sc.textFile(data_file).cache() raw_rdd.take(5)

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Provides an average understanding. Some of the button names have been updated on the tool/ dataproc compared to the instructions but was able to figure it out

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complex

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Learnt how to make use of Cloud Storage instead of HDFS to stage data

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