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Building Pipelines with Dynamic Tables
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With Dynamic Tables, Snowflake simplifies the creation and maintenance of data pipelines. Gone are the days when users had to manually consolidate their data. But how do you use Dynamic Tables exactly? What are the design decisions? How do you deal with errors and performance regressions?
In this video, you'll learn how to set up a full data pipeline. We'll navigate common issues using the many metric sources that come with Dynamic Tables. Where necessary, we'll change our setup on the fly to ensure our business requirements are met and explain the effect of the target lag parameter, the difference between full and incremental refreshes, and the reasons for skipped refresh.
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In this video, you'll learn how to set up a full data pipeline. We'll navigate common issues using the many metric sources that come with Dynamic Tables. Where necessary, we'll change our setup on the fly to ensure our business requirements are met and explain the effect of the target lag parameter, the difference between full and incremental refreshes, and the reasons for skipped refresh.
❄ Join our YouTube community ❄
Learn how to build your application on Snowflake:
Join the Snowflake Community:
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