video1.0<iframe src="https://www.loom.com/embed/40e06dcf35874103819adff666ff766a" frameborder="0" width="1920" height="1440" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14401920Loomhttps://www.loom.com14401920https://cdn.loom.com/sessions/thumbnails/40e06dcf35874103819adff666ff766a-1aad1f504eb1b9b8.gif1050.261In this video, I guide you through setting up your own Google bulk export data pipeline. We discuss the necessary Google Cloud project activation, BigQuery environment access, and Search Console property connection. I explain the data size, partitioning, and daily input calculations, along with cost projections over 36 months. The video demonstrates the pipeline setup steps, including dataset selection, configuration, and running procedures. No action is requested from viewers, but understanding the process and costs involved is crucial for effective data management.