Build the same demo following this tutorial → https://goo.gle/39NQ9LF
Whether you want to use data to perform analytics, to build machine learning models, or for reporting and business intelligence, there are several ways to bring data into Google Cloud. In this video, we show how you can build a data pipeline with Google Cloud! Watch us 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.
0:00 – Intro
1:07 – Console orientation
2:14 – Demo walkthrough
2:19 – Extract (from Cloud Storage)
3:23 – Transform and Load (with Dataflow)
4:59 – Analyze (with BigQuery)
6:01 – Orchestrate (with Composer, Workflows, or Scheduler)
7:17 – Conclusion
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Publisher: Google Cloud
You can watch this video also at the source.