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Understanding Parallel Processing in Apache Spark | Resilient Distributed Datasets - RDDs
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Understanding Parallel Processing in Apache Spark | Resilient Distributed Datasets - RDDs
In this video, we will understand the basic building block of Apache Spark.
RDD stands for Resilient Distributed Dataset. It is the fundamental data structure in Apache Spark, representing an immutable distributed collection of objects that can be operated on in parallel.
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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Social Media Links :
#apachespark #parallelprocessing #DataWarehouse #DataLake #DataLakehouse #DataManagement #TechTrends2024 #DataAnalysis #BusinessIntelligencen #2024 #interview #interviewquestions #interviewpreparation
In this video, we will understand the basic building block of Apache Spark.
RDD stands for Resilient Distributed Dataset. It is the fundamental data structure in Apache Spark, representing an immutable distributed collection of objects that can be operated on in parallel.
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