In part 1, we defined and deployed two data services to Cloud Run. Each service provides endpoints that perform specific tasks, such as loading a file to BigQuery or running dbt models. In this post, we’ll define and deploy some…
Read More >In my previous post I showed you how to use dbt to expedite data preparation tasks on Google BigQuery. This time, I’ll show you how to integrate those dbt pipelines into workflows that load, validate and transform data. …
Read More >Raw incoming data needs to go through a series of data preparation steps before it can be used for analysis. These steps include tasks such as type casting, renaming columns, cleaning values and identifying duplicates. Writing code to perform these…
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