🔍 What exactly are BigQuery Labels? They're key-value pairs that you can associate with different BigQuery resources like datasets, tables, views, and even jobs within a session. Consider them as 'tags' that streamline the organization, tracking, and management of your resources.
In the examples shared, we demonstrate how to label BigQuery jobs within a query and then fetch them using the INFORMATION_SCHEMA . JOBS view.
🌟 Wondering about how is it useful?
1️⃣ Expense Breakdown - With labels, you can categorize your BigQuery
expenses by department, project, or any other segment, promoting clear billing.
2️⃣ Efficient Resource Handling - Recognize and handle resources based on their labels, facilitating a tidy and systematic workspace.
3️⃣ Streamlined Automation - Pair labels with Cloud Functions or other GCP tools to automate tasks based on specific labeled criteria.
If you haven't explored labels in BigQuery yet, I urge you to do so. They offer a straightforward approach to instill organization and transparency in your data workspace.
Enjoy your data exploration! 📊