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Google Cloud Platform services, infrastructure, and data tools (100 posts)

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Behind the Cloud: GCP foundational best practice

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

Matthew Hooson-

Behind the Cloud: Setting up a Dataform project within BigQuery

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

Matthew Hooson-

Customer Data Platforms (CDPs)

Our take on CDPs We’ve been around long enough to have seen the bandwagon-jumping that inevitably happens with any new tech trend as it travels the hype cycle. Right now, Customer Data Platforms (CDPs) are reaching the peak of inflated expectations - and are at risk of descending into the trough of disillusionment. Measurelab doesn’t resell technology licences and we don’t rake in money from vendor kick-backs. So we’re happy to tell it like it is. If you haven’t already got a CDP, you may not

Matthew Hooson-

Behind the Cloud: Connecting GA4 to BigQuery

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

Matthew Hooson-

Behind the Cloud: Dataform, what is it and why does it matter?

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

Matthew Hooson-

Behind the Cloud: The essentials of Google BigQuery

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

Matthew Hooson-

Behind the Cloud: What Google Cloud tools should you be familiar with?

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

Matthew Hooson-

2023: Measurelab's year in review

2023 was a momentous year for Measurelab. It marked a decade of delivering analytics excellence to the world, a year when we were named one of the UK’s best places to work and became a fully-certified GCP partner, a summer that saw the sunsetting of Universal Analytics, followed by the new dawn of generative AI and the beginning of an augmented analytics era. Into the sunset From the very beginning of January, right up to the deprecation deadline of July 1st, we were swamped with GA4 migratio

Steven Elliott-