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Bucketing is a technique in Hadoop that groups data into buckets based on a specific column, while partitioning divides data into logical units based on a specific column.
Bucketing is used to evenly distribute data across multiple files or directories.
Partitioning is used to organize data based on a specific column, making it easier to query and analyze.
Bucketing and partitioning can be used together to optimize data s...
MapReduce is a programming model used to process large datasets in parallel.
MapReduce divides the input data into chunks and processes them in parallel.
Map function processes each chunk and produces intermediate key-value pairs.
Reduce function aggregates the intermediate results and produces final output.
MapReduce is used in Hadoop for distributed processing of large datasets.
Example: Counting the frequency of words in
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