Join this session to learn how to set up a full data pipeline with Dynamic Tables. We’ll navigate common issues using the many metric sources that come with Dynamic Tables, change our setup on the fly to ensure we meet the business requirements, and explain the effect of the target lag parameter, the difference between full and incremental refreshes, and the reasons for skipped refresh. We will also show how Dynamic Tables can be used for Slowly Changing Dimension (SCD) use cases where temporal alterations can be easily tracked, ensuring historical data stays accurate and insightful.

After attending the talk, you will be able to start your own pipeline consisting of multiple connected Dynamic Tables and be familiar with the basic tools to monitor and adapt your pipeline.