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PYSPARK End to End Developer Course (Spark with Python)
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PYSPARK End to End Developer Course (Spark with Python)

About this course

Introduction to Spark.HDFS CommandsPython Course.Why Spark was developed.What is Spark and its features.Spark Main Components.Introduction to Spark.HDFS CommandsIntroduction to SparkSessionRDD FundamentalsWhat is RDDRDD PropertiesWhen to use RDDRDD ProblemsCreate RDDDifferent Ways to Create RDDsRDD OperationsTransformations -  Low LevelTransformations - Join TypesActions -  Total AggregationsShuffle and CombinerTransformations -  Key AggregationsTransformations -  SortingTransformations -  RankingTransformations -  SetTransformations -  SamplingTransformations -  PartitionTransformations -  RepartitionTransformations -  Repartition and SortTransformations -  CoalesceTransformations -  Repartition Vs CoalesceExtractionSpark Cluster Execution Architecture_Full ArchitectureSpark Cluster Execution Architecture_YARN As Spark Cluster ManagerSpark Cluster Execution Architecture_JVMs across ClustersSpark Cluster Execution Architecture- Commonly Used Terms in Execution FrameworkSpark Cluster Execution Architecture - Narrow and Wide TransformationsSpark Cluster Execution Architecture - DAG SchedulerSpark Cluster Execution Architecture - Task SchedulerRDD PersistenceSpark Shared VariablesSparkSQL ArchitectureDetailed SparkSession FeaturesDataFrame FundamentalsDatatypesDataFrame RowsDataFrame ColumnsDataFrame ETLDataFrame ETL_Introduction to Transformations and ExtractionDataFrame ETL_DataFrame APIs Introduction ExtractionDataFrame ETL_DataFrame APIs SelectionDataFrame ETL_DataFrame APIs Filter or WhereDataFrame ETL_DataFrame APIs SortingDataFrame ETL_DataFrame APIs SetDataFrame ETL_DataFrame

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62/100

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38/45
Who stands behind it
8/35
How complete the listing is
16/20

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What you'll learn

  • understand Spark architecture and components
  • create and manipulate RDDs
  • perform DataFrame operations
  • apply Spark SQL for data processing
  • implement transformations and actions
$24.99

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