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Whether you want to use data to perform analytics, build machine learning models, or for reporting and business intelligence, there are several ways to bring data to Google Cloud. In this video we show you how to build a data pipeline with Google Cloud! Watch as we walk through a demo architecture for one data pipeline approach called ETL, or Extract Transform Load, which can handle large amounts of incoming data and processing demands.
Chapters:
0:00 – Introduction
1:07 – Console orientation
2:14 – Demo walkthrough
2:19 – Excerpt (from cloud storage)
3:23 – Transform and Load (with Dataflow)
4:59 – Analyze (with BigQuery)
6:01 – Orchestrate (with composer, workflows or planner)
7:17 – Conclusion
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