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Accelerating your Data Journey with Google Cloud Analytics Design Patterns
Designing a new data warehouse on Google Cloud can feel like choice overload. There’s a variety of analytic services to consider that will help build your data pipelines, BI, and AI outcomes. And even after those choices are resolved, how do you integrate all these services? How do you model your data warehouse? Getting started requires time-consuming research, tests, and validation unless you can leverage the experience from others to guide you.

This is what the Google Cloud Design Patterns are all about. Design patterns are comprehensive guidelines that you can follow to implement and test an end-to-end solution in an instant.

Welcome to season two of Do-It-Yourself Data with Trifacta! In this next episode, we’ll show you how to design an analytics data warehouse for pricing analysis and optimization using Google Design patterns. Outbound Product Manager for Data Analytics on Google's Cloud Platform, David Dinter, will demonstrate how to use Design Pattern that leverage:
•Dataprep
•BigQuery
•BigQuery ML

At the end of the session, you will get access to all the resources you need (GitHub, CodeLab, Demo) so you can try it for yourself!

Ready to start transforming your data with us? Let's go!

Jan 12, 2022 09:00 AM in Pacific Time (US and Canada)

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