What's actually in Google's Knowledge Catalog
Katie Kaczmarek-15 Sept 2026
Insights
Google Cloud
Google Cloud Platform services, infrastructure, and data tools (100 posts)
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How to make an AI agent accurate in BigQuery
A year ago, I wrote about getting a BigQuery warehouse ready for AI ( Easy ways to prepare your BigQuery warehouse for AI) , but didn't look properly into Knowledge Catalog (known as Dataplex at the time). We decided to go back and look through Google's Knowledge Catalog properly: what's actually in there, how it works and what it relates to. What Knowledge Catalog is Knowledge Catalog is Google's metadata layer for BigQuery data (and a few other sources). It sits alongside your tables rather
Katie Kaczmarek-
What's actually in Google's Knowledge Catalog
Google's Knowledge Catalog has been renamed four times. Data Catalog, then Dataplex Catalog, then BigQuery universal catalog, then Dataplex Universal Catalog, and now Knowledge Catalog, as of 10 April 2026. The API, gcloud and IAM roles still all say "dataplex". If you land on a page that mentions Dataplex and wonder whether you're reading something out of date, you're probably not. That's just the product's fifth name in four years. I spent some time looking through the different sections of K
Katie Kaczmarek-
Your analytics stack is dying. Here's what's going to replace it
The monolithic martech stack is collapsing. An open source, warehouse-first intelligence platform is cheaper, more honest, and actually yours.
Steven Elliott-
#135 Twelve highlights of 2025 and future predictions
Dara and Matthew recap 2025 with 12 top highlights, AI, analytics, and the best moments on The Measure Pod.
Will Hayes-
Integrating web analytics with CRM for Charles Stanley
How Charles Stanley unified customer data with a Google Cloud solution, improving journey visibility, data reliability, and personalised marketing.
Nasima Khatun-
#133 The role of AI in analytics (with Juliana Jackson at Jellyfish)
Dara and Matthew chat with Juliana Jackson on her journey, product mindset, and how AI is shaping modern analytics.
Will Hayes-
#131 From raw export to insight-ready data (with Johan van de Werken at GA4Dataform)
Johan van de Werken joins The Measure Pod to discuss GA4Dataform, BigQuery, and the future of analytics engineering and automation.
Will Hayes-
#130 GenAI in action: Cloud DevOps and Tagassistant.ai (with Mark Edmondson)
In this episode of The Measure Pod, Dara and Matthew sit down with Mark Edmondson, AI Engineer, founder of Sunholo, Aitana, and board member at 8-bit-sheep.
Will Hayes-
Measurelab awarded Google Cloud Marketing Analytics Specialisation
At the start of the year, if you’d asked us whether Measurelab would be standing shoulder to shoulder with Europe’s biggest consultancies by September, we would've been surprised. Not because we don't believe in ourselves, but because these things feel so distant - until suddenly, they’re not. So, here it is: we’ve been awarded the Marketing Analytics Services Partner Specialisation in Google Cloud Partner Advantage. What’s the big deal? In Google’s own words (with the obligatory Zs): “Spec
Will Hayes-
#128 MCP servers in digital analytics (with Gunnar Griese at 8-bit-sheep)
In this episode of The Measure Pod, Dara and Matthew sit down with Gunnar Griese from 8-bit-sheep to discuss MCPs and their growing role in digital analytics.
Will Hayes-
BigQuery AI.GENERATE tutorial: turn SQL queries into AI-powered insights
BigQuery just got a major upgrade, you can now plug directly into Vertex AI using the new AI.GENERATE function. Translation: your analytics data and generative AI are now best friends, and they’re hanging out right inside SQL. That opens up a whole world of new analysis options for GA4 data, but it also raises some questions: * How do you actually set it up? * What’s it good for (and when should you avoid it)? * Why would you batch the query? Let’s walk through it step by step. Step 1: H
Katie Kaczmarek-
#127 Ensuring robust data collection - lessons from Trackingplan (with Josele Perez)
In this episode of The Measure Pod, Dara and Matt welcome Josele Perez, co-founder of Trackingplan, to dive into the evolving challenges and opportunities in data collection.
Will Hayes-
#124 Transforming tag management with server-side GTM (with Denis Golubovskyi at Stape)
In this episode of The Measure Pod, Dara and Matt are joined by Denis Golubovsky from Stape.io, the team making server-side Google Tag Manager implementation as simple as the click of a button.
Will Hayes-
Webinar: Stop the martech madness! Go composable. Deliver value faster.
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
Will Hayes-
#123 Why teams are turning to warehouse-native analytics (with István Mészáros at Mitzu)
In this episode of The Measure Pod, Dara and Matt are joined by István Mészáros, founder and CEO of Mitzu - a company who have built a warehouse-native product analytics solution.
Will Hayes-
#121 Using Dataform and DBT in modern analytics (with Verónica Delgado-Benito at Springer Nature)
In this episode of The Measure Pod, Dara and Matt are joined by Verónica Delgado-Benito to chat through her journey from molecular biology PhD to data analyst at Springer Nature.
Will Hayes-
#120 Marketing analytics updates and a BigQuery health check
In this episode of The Measure Pod, Dara and Matt dive into a whole mix of marketing analytics news and musings. From new BigQuery features and GA4 updates to ChatGPT integrations and data quality best practices.
Will Hayes-
Behind the Cloud – Data Preparations in BigQuery
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
Matthew Hooson-