Watch our webinars, dive into Behind the Cloud for technical deep-dives, and catch The Data Intervention series where we tackle common analytics challenges.
In this 30-minute session, we unpacked what we had been experimenting with using Google’s conversational AI to spend less time wrangling data and more time actually learning from it.
In this 30-minute webinar, learn how to bring structure and sanity to your SQL workflows, without adding complexity. We cover practical
In this episode of The Data Intervention, Mac delves into the significance of first-party data in modern marketing.
In this 30-minute session, we unpacked what we had been experimenting with using Google’s conversational AI to spend less time wrangling data and more time actually learning from it.
In this 30-minute webinar, learn how to bring structure and sanity to your SQL workflows, without adding complexity. We cover practical
In this episode of The Data Intervention, Mac delves into the significance of first-party data in modern marketing.
In this 30-minute webinar, we use three real-world examples to demonstrate how a composable approach can help you do more with the data and tech you already have - delivering value at speed. We cover three practical examples of how your marketing data warehouse can support better insights and experiences - without the need for more martech. Learn how you can: * Score wins quickly and regularly * Streamline your martech stack * Stop planning and start building Have questions? Reach out to
In this episode of The Data Intervention, Mac talks analytics maturity - what it is, why it matters, and how to move from “just getting by” to actually getting value from your data.
In this episode of Behind the Cloud, Matt explores BigQuery’s new Data Preparation feature, an AI-powered, point-and-click tool for transforming data with ease. From natural language transformations using Gemini to automated workflows and scheduled outputs, learn how Google is simplifying data prep for analytics and machine learning. Video transcript [00:00:00] Hello and welcome to another episode of Behind the Cloud. Today we are gonna look at a feature or a service, or whatever you wanna ca
In this episode of The Data Intervention, Mac gets into why so many teams end up drowning in unreliable data, and what can be done to fix it before it becomes an expensive mess.
In this episode of Behind the Cloud, Matthew dives into the details of releases and scheduling in Dataform. He breaks down how to manage different versions of your codebase in GitHub. From taking snapshots, to scheduling executions at various intervals daily, hourly, or monthly. By the end of the episode, you’ll have the know-how to confidently release and schedule your code, making it easier to build robust tables and models with Dataform. Video transcript Introduction to releases and sche
In this episode of Behind the Cloud, Matthew dives into Identity and Access Management (IAM) on Google Cloud. He discusses the common frustrations users face, and the significance of assigning specific, granular permissions to mitigate potential risks. Video transcript Introduction to IAM roles [00:00:00] Matt: Hello and welcome to another episode of Behind the Cloud. I’m afraid today isn’t going to be the most glamorous of episodes because what we’re here to talk about today is IAMs on GCP
In this episode of Behind the Cloud, Matthew delves into the world of generative AI in the Google Cloud Platform, highlighting how Google has integrated generative AI features into its various services. Matthew explores the ways generative AI can be used within BigQuery, such as generating SQL queries and Python notebooks! Video transcript Introduction to Generative AI in Google Cloud [00:00:00] Matt: Hello and welcome to another episode of Behind the Cloud. Uh, today we’re going to cover g
In this episode of Behind the Cloud, Matt explains how to organise GCP projects by specific use cases, how to automate processes, establish clear naming conventions, and follow best practices around security, tagging, and more. Video transcript Introduction [00:00:00] Matthew: Hello and welcome to another episode of Behind the Cloud. We’ve had a little bit of a brief hiatus but now we’re back and we’re going to do another series of videos. Today we’re going to kick off with what arguably sh
In this episode of Behind the Cloud, Matthew demonstrates how to enable and set up a Dataform project within BigQuery, connect it to GitHub, and initialise the workspace for building a Dataform project. Matt walks us through enabling BigQuery, creating a repository, setting up the region, and using service accounts. Video transcript Introduction to Dataform in BigQuery [00:00:00] Matt: Hello and welcome to this week’s behind the cloud sticking with the practical theme today. We’re going to
In this episode of Behind the Cloud, Matt explores the practical side of Google Analytics 4 (GA4) and its free export feature to BigQuery. We learn about export limits, batch exports, and streaming options for GA4 data. The episode also touches on setting up BigQuery within a Google Cloud project. Video transcript Introduction to GA4 and BigQuery Export [00:00:00] Matt: Hello and welcome back to Behind the Cloud. This week we’re going to delve into something a little bit more practical. Whe
In this episode of Behind the Cloud, Matt discusses Dataform, what it is, and why it matters. Video transcript Cloud Data Warehousing [00:00:00] Matt: Welcome to Behind the Cloud. Today we’re exploring data form, but first a little bit of scene setting. Over the past number of years, cloud computing, specifically cloud data warehousing, has advanced significantly. Huge amounts of data can be queried in seconds. The scalability of the platforms is near infinite from both a performance and a
In this episode of Behind the Cloud, Matt discusses the essentials of Google Cloud’s BigQuery. Everything from project structure, data handling, to understanding the costs involved. Video transcript [00:00:00] Matt: Hello and welcome to Behind the Cloud. Today we’re going to be diving into the nuts and bolts of Google Cloud’s BigQuery and how it can help to revolutionise your marketing analytics. Whether you’re really familiar with the cloud or this is all new to you, this episode aims to gui
In this episode of Behind the Cloud, Matthew aims to answer the question: what are the Google Cloud Platform tools of the marketing analytics trade? And more specifically, what are the tools that you should care about in Google Cloud. For a more in-depth write up on Google Cloud tools, check out Matt’s blog post. Video transcript [00:00:00] Matt: Hello and welcome to today’s episode of Behind the Cloud. We’re going to try and answer the question, what are the GCP tools of the marketing analyt
If you’re anything like me, you saw the GTM v2 update coming with an impending sense of dread. You thought “oh no, another interface that I’m going to have to get familiar with” or “oh no, a slightly different system that’ll have slightly different quirks and tics and I’ll have to spend months relearning how to use it properly, argh (╯°□°）╯︵ ┻━┻”. Back in June when everything got auto-updated, I sent an email to one of our clients apologising for the change. But guess what? As with pretty muc