Hey there, fellow data enthusiasts! Today, I want to share a Python script I’ve been working on that’s become a real game-changer for me when dealing with Google BigQuery. If you’ve ever needed to pull data from BigQuery tables or views and save them as CSV files, this script might just be your new best friend. Let me walk you through what it does, why I built it, and how it works.
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As a data engineer working with Google BigQuery, I often need to document and recreate table structures accurately. Recently, I built a Python script to streamline the process of generating DDL (Data Definition Language) statements for tables in a BigQuery dataset, complete with schema details, partitioning, clustering, and constraints like primary and foreign keys. In this blog post, I’ll walk you through what this script does, why I created it, and how it simplifies my workflow. Let’s dive in!