Spark - Build Memory Config Calculator in Tamil

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Spark - Build Memory Config Calculator in Tamil

Spark Executor Memory: The amount of memory allocated to each executor in Spark, used for storing data and performing computations.

Spark Driver Memory: The amount of memory allocated to the Spark driver, responsible for the overall coordination of the application, including task scheduling.

Spark Cores: The number of CPU cores allocated to each executor, which determines the number of tasks an executor can run in parallel.

Number of Executors: The total number of executors in a Spark application, determining the parallelism level across the cluster.

YARN Memory Overhead: Extra memory allocated on top of the executor memory for YARN to handle resource management, including JVM overhead, caches, and thread stacks.

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Good and clear explanation❤..
Want spark/pyspark from you as a detailed video.

Yuvaraj.Sampath
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Need py spark, beginner tutorial to intermediate or advanced. Because spark is the main skill I'm facing in the job description.

mananoyaligal
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Bro na 2021 mech engg passed out but i started to learn python pandas numpy, fastapi, statistics basics, postgreSQL and now from ur vids leaning hadoop HDFS all in amma laptop with 4gb ram and low storage space. Can i learn pyspark or anything else to get into engineering field instead of spark or hive? VM try paniten local and aws free tier both not working. I'm eager to learn more,

BlackSouL