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How are google cloud functions used in bigquery?


Asked by Cassidy Hartman on Dec 04, 2021 Mini Program Cloud Development Study Guide



They can be used for exporting data from BigQuery, writing data from Cloud Storage into BigQuery once files are put into a GS Bucket, reacting to a specific HTTP request, monitor Pub/Sub topics to parse and process different messages, and so much more. Some other use cases of Google Cloud Functions include:
In fact,
Actually no, Cloud Functions can’t be triggered with BigQuery. Still, there is a way to work around this using Stackdriver and Pub/Sub (which is one of the source triggers of Cloud Functions).
One may also ask, When building your data warehouse in BigQuery, you will likely have to load in data from flat files and often on a repeated schedule. This article will walk through how you can achieve this using Cloud Storage, Cloud Functions and BigQuery to create a repeatable, low maintenance solution.
In addition,
Google BigQuery. A fast, highly scalable, cost-effective, and fully managed cloud data warehouse for analytics, with built-in machine learning. BigQuery is Google's serverless, highly scalable, enterprise data warehouse designed to make all your data analysts productive at an unmatched price-performance.
Also Know,
If you have your Google Analytics view linked to BigQuery, you are probably enjoying the advantages it brings. There is no sampling in your data, you can bring in third-party data, you have more control over your data and much more. But, there was one thing bothering me.