The Flying Beagle

In this post, I’m going to walk you through some ways of deleting user data from Google Analytics, via a couple of techniques that I found out by trial and error.

There are occasions where you would like to randomly select rows from your BigQuery tables; but at the same time like to ensure you keep getting the same set of rows every time you work with the da

In a lot of exploratory queries, you want to know not only how many rows had a certain value but what percentage of all rows in the table this count value represents.

When your Google Cloud Function invocations fail, you want to know about it as soon as possible.

Google Cloud Spanner is Google’s global-scale, strongly consistent SQL database service.

In many of our upcoming posts, you will be reading about how to connect to Google services using a service account.

The Google Analytics 360 (GA360) integration with Google BigQuery produces one partitioned table for each day’s worth of data.

In this first instalment in a series of posts focusing on head scratching errors, we will tackle the 'IndentationError' that sometimes pops up in  Google Cloud Functions written in Python.

Ever since we became Google Cloud Platform (GCP) partners, we’ve been creating content for our customers on how to get the most out of GCP.

We love Google Cloud Functions for its simplicity in allowing us to quickly deploy code without having to worry about servers, networking, and security.