π Hello Cloud Engineers, Data Engineers & GCP Arcade Learners!
Welcome back to Orbit of Ops! π
In this video, we'll walk through Create a Streaming Data Lake on Cloud Storage: Challenge Lab | ARC110, a hands-on Google Cloud Skills Boost Challenge Lab focusing on building a streaming data lake pipeline connecting Pub/Sub, Cloud Scheduler, Dataflow, and Cloud Storage.
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π ABOUT THE LAB
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Unlike a guided lab, ARC110 requires you to apply your data engineering knowledge independently. You'll create a Pub/Sub topic, configure a Cloud Scheduler job to push messages, create a Cloud Storage destination bucket, and deploy a Dataflow streaming pipeline with fixed time windows to continuously move and process streaming data into Cloud Storage.
π― WHAT YOU'LL LEARN
β’ Set up and configure a Pub/Sub topic for streaming messages
β’ Create and configure a Cloud Scheduler job for automated message publishing
β’ Create a destination Cloud Storage bucket for your data lake
β’ Configure and start a Dataflow streaming pipeline from scratch
β’ Process streaming data using fixed time windows
β’ Monitor Dataflow pipeline execution and performance
β’ Verify generated output files and data structure in Cloud Storage
β’ Complete challenge checkpoints independently
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πππ HORIZON STUDY NOTES & COMMAND REFERENCE ππβ
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π Command Reference & Step-by-Step Notes
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π OFFICIAL RESOURCES
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π Official Lab
https://www.skills.google/focuses/62701
π Google Cloud Skills Boost
https://www.cloudskillsboost.google/
π Pub/Sub Documentation
https://cloud.google.com/pubsub/docs
π Dataflow Documentation
https://cloud.google.com/dataflow/docs
π Cloud Storage Documentation
https://cloud.google.com/storage/docs
π Cloud Scheduler Documentation
https://cloud.google.com/scheduler/docs
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