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A cost-efficient and event-driven BigQuery loading for Intermediate Data Engineers
DEV Community dev.to
Introduction
Imagine uploading data to BigQuery is as simple as dropping a file into a bucket. For intermediate data engineers, this could be a game-changer. In this tutorial, we'll delve into a practical architecture tailored for your needs in Python.
Before we proceed with the practical aspects, let's begin by understanding what BigQuery is and why loading data into this platform is significant. We'll then explore the overall architecture flow, providing a holistic view, before delving into the practical implementation …
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