The Flying Beagle

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.

As part of Google Analytics 360, you can have all of your Google Analytics data exported daily into Google BigQuery, in its entirety, in the form of a new table per day.

It isn’t easy to count how many files there are in each of your Google Cloud Storage (GCS) buckets.

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