How to monitor your source freshness in dbt скачать в хорошем качестве

How to monitor your source freshness in dbt

►► The Starter Guide for Modern Data (Free) → https://bit.ly/startermds Get clarity on modern data engineering so you can build better projects & avoid common mistakes A freshness block is used to define the acceptable amount of time between the most recent record, and now, for a table to be considered "fresh". This is useful to help automatically keep tabs on how up to date your sources are so that you can be sure you are creating your data models on the most accurate data. It can also be useful to make sure you are on track for certain SLAs (if you have them). This video will walk you through the syntax of the freshness block and how it works under the hood. Enjoy! Timestamps: 0:00 - Intro 0:10 - Adding a Freshness Block 1:33 - Review the Syntax 2:53 - Timezone for loaded_at Field Title & Tags: Monitor Source Freshness | Snapshot Source Freshness | dbt labs | Data Build Tool (dbt) Tutorial #databuildtool #dataengineering #dbtdata #clouddatabase #snowflakedatawarehouse