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2,272 Views • Mar 27, 2024 • Click to toggle off description
In this video, we will understand when to use Partitioning Vs Bucketing. Partitioning and bucketing are both techniques used in distributed data processing systems like Apache Spark or Hive to organize data for efficient querying and processing. If the number of distinct values of a column is high, then Bucketing would be the right choice. However, when the number distinct values of a column is low, then Partitioning would be the right approach.
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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