What does the term "data locality" mean in Hadoop?

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Ranjith N

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Data locality in Hadoop refers to the practice of processing data on the same node where it is stored, reducing network traffic and improving performance.
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the principle of processing data on the same node where it's stored, rather than transferring the data to a different node for computation.
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I am online Quran teacher 7 years

the principle of processing data on the same node where it's stored, rather than transferring the data to a different node for computation
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"Rajesh Kumar N: Guiding Young Minds from 1 to 12 with Expertise and Care"

Data locality in Hadoop refers to the concept of processing data where it is stored. Hadoop tries to run tasks on nodes that have the data (in HDFS) locally, reducing the need for data transfer over the network. Improves performance by minimizing network latency and optimizing data processing. This...
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Data locality in Hadoop refers to the concept of processing data where it is stored. Hadoop tries to run tasks on nodes that have the data (in HDFS) locally, reducing the need for data transfer over the network. Improves performance by minimizing network latency and optimizing data processing. This is a key principle of Hadoop's MapReduce framework to increase efficiency. read less
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Data Locality in Hadoop means moving computation close to data rather than moving data towards computation. Hadoop stores data in HDFS, which splits files into blocks and distribute among various data nodes. When a mapReduce job is submitted, it is divided into map jobs and reduce jobs.
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