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Syncsort has provided a set of use case accelerators (UCAs) to help users understand how to implement DMX-h ETL solutions in a Hadoop MapReduce framework.
The Word Count use case accelerator demonstrates how to perform the standard Hadoop word count example. It uses pivoting to tokenize the sentences into words, then counts the words using an aggregate task.
The following attachments are available for understanding and running this UCA:
See the Guide to DMX-h ETL Use Case Accelerators for an overview of how the set of use case accelerators are organized and how to run them.
For general guidance on developing and running DMX-h ETL solutions, see Developing DMX-h ETL Jobs and Running DMX-h ETL Jobs in the DMExpress Help.
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