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Understanding Lineage Graph and Lazy Evaluation in Apache Spark | DAG - Directed Acyclic Graph
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Understanding Lineage Graph and Lazy Evaluation in Apache Spark | DAG - Directed Acyclic Graph | #interview
In Apache Spark, the lineage graph, also known as the RDD lineage or the directed acyclic graph (DAG), is a representation of the sequence of transformations applied to create an RDD (Resilient Distributed Dataset). It captures the dependencies between RDDs and the transformations used to derive them. The lineage graph plays a crucial role in achieving fault tolerance and enabling lazy evaluation in Spark.
Most commonly asked interview questions when you are applying for any data based roles such as data analyst, data engineer, data scientist or data manager.
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#apachespark #parallelprocessing #DataWarehouse #DataLake #DataLakehouse #DataManagement #TechTrends2024 #DataAnalysis #BusinessIntelligencen #2024 #interview #interviewquestions #interviewpreparation
In Apache Spark, the lineage graph, also known as the RDD lineage or the directed acyclic graph (DAG), is a representation of the sequence of transformations applied to create an RDD (Resilient Distributed Dataset). It captures the dependencies between RDDs and the transformations used to derive them. The lineage graph plays a crucial role in achieving fault tolerance and enabling lazy evaluation in Spark.
Most commonly asked interview questions when you are applying for any data based roles such as data analyst, data engineer, data scientist or data manager.
Don't miss out - Subscribe to the channel for more such interesting information
Social Media Links :
#apachespark #parallelprocessing #DataWarehouse #DataLake #DataLakehouse #DataManagement #TechTrends2024 #DataAnalysis #BusinessIntelligencen #2024 #interview #interviewquestions #interviewpreparation
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