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Google Professional Data Engineer

Google Professional Data Engineer

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What strategy can be employed to enhance the performance of a Dataflow pipeline that processes compressed gzip text files, utilizes SideInputs for data joining, and directs errors to a dead-letter queue?

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Explanation:

The CoGroupByKey transform is a fundamental Beam operation that combines multiple PCollection objects, grouping elements by a common key. Unlike SideInputs, which require the entire dataset to be available to each worker, CoGroupByKey efficiently distributes data across workers through a shuffle operation. This method is particularly beneficial for large datasets that exceed worker memory capacity. For optimal performance when dealing with extensive datasets, CoGroupByKey is recommended over SideInputs. Reference: Building Production-Ready Data Pipelines Using Dataflow

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