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75. Databricks | Pyspark | Performance Optimization - Bucketing

Azure Databricks Learning: Performance Optimization - Bucketing ====================================================== What is Bucketing in Spark? Bucketing is one of the performance optimization technique in spark. It splits the data into multiple buckets based on hash key and stores the data in pre-shuffled and pre-sorted format, which improves the performance during wide transformations such as join, groupby etc., This is also one of the widely asked interview question #DatabricksBucketBy, #SparkBucketing, #Bucket, #PysparkBucketBy,#DatabricksRealtime, #SparkRealTime, #DatabricksInterviewQuestion, #DatabricksInterview, #SparkInterviewQuestion, #SparkInterview, #PysparkInterviewQuestion, #PysparkInterview, #BigdataInterviewQuestion, #BigdataInterviewQuestion, #BigDataInterview, #PysparkPerformanceTuning, #PysparkPerformanceOptimization, #PysparkPerformance, #PysparkOptimization, #PysparkTuning, #DatabricksTutorial, #AzureDatabricks, #Databricks, #Pyspark, #Spark, #AzureDatabricks, #AzureADF, #Databricks, #LearnPyspark, #LearnDataBRicks, #DataBricksTutorial, #azuredatabricks, #notebook, #Databricksforbeginners