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Data to Dashboards: The Analytics Lab

Welcome to the Data Analytics & Visualization lab! In this section, you will build a complete, automated data pipeline on Google Cloud. This is a powerful, real-world pattern used to move data from operational databases into a data warehouse for analysis and reporting.

Lab Overview

You will build a pipeline that:

  1. Sets up a Destination: You'll start by creating a home for your data in BigQuery, Google's serverless data warehouse.
  2. Extracts & Transforms Data: You'll write and deploy a Cloud Function that connects to a MySQL database, runs a SQL query to transform the data, and prepares it for loading.
  3. Automates the Pipeline: You'll use Cloud Scheduler to automatically run your function on a recurring schedule, ensuring your data warehouse stays up-to-date.
  4. Visualizes the Insights: Finally, you'll connect Looker Studio to your BigQuery data to build and customize an interactive dashboard.

What's Next

Let's begin by setting up the foundation of our data pipeline: the BigQuery dataset and table.