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  1. Amazon Web Services
    Whether you are building a data lake, a data analytics pipeline, or a simple data feed, you may have small volumes of data that need to be processed and refreshed regularly. This post shows how you can build and deploy a micro extract, transform, and load (ETL) pipeline to handle this requirement. In addition, you configure a reusable Python environment to build and deploy micro ETL pipelines using your source of data... View the full article

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