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Processing Data with Google Cloud Dataflow

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This is a self-paced lab that takes place in the Google Cloud console. In this lab you will simulate a real-time real world data set from a historical data set. This simulated data set will be processed from a set of text files using Python and Google Cloud DataFlow, and the resulting simulated real-time data will be stored in Google BigQuery.

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"Processing Data with Google Cloud Dataflow" is an advanced, self-paced lab designed for IT and computer science professionals looking to enhance their data processing skills using Google Cloud technologies. Guided by Coursera, this course immerses learners in a practical, hands-on environment within the Google Cloud console. Participants will learn to create a simulated real-time data set from historical data, process it using Python and Google Cloud DataFlow, and store the resulting data in Google BigQuery. This course is ideal for professionals seeking to deepen their understanding of real-time data processing and cloud-based data management. The lab offers flexibility with a self-paced format, allowing learners to progress at their own speed. Available through a Coursera Starter subscription, this professional-level course is perfect for those looking to advance their expertise and apply cutting-edge data processing techniques in their projects.