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Enhancing your data team with ours

Our consultants come armed with both technical and soft skills to support you to make the most of your data.
Photo of Paul Chapman, Global Director of Performance Management, BI and Innovation at JLL
The Data School has been paramount to our success at JLL. It has allowed us to bring in highly skilled Tableau and Alteryx consultants. It saves considerable time trying to recruit contractors as I know their skills and training are to the highest standard. Over the past 5 years my team has developed analytical insights which have generated multi million dollar savings of which a considerable amount can be attributed to the Data School consultants we have had working on projects.
Paul Chapman, Global Director of Performance Management, BI and Innovation at JLL
Partner of the Year$ from Alteryx
Alteryx
Partner of the Year
EMEA
Community Impact 2024$ from Tableau
Tableau
Community Impact 2024
EMEA ESMB
Data for Good Champion$ from DataIQ
DataIQ
Data for Good Champion
Finalist
Best Data Academy or Skills Development$ from DataIQ
DataIQ
Best Data Academy or Skills Development
Finalist
Partner of the Year$ from Alteryx
Alteryx
Partner of the Year
Europe
Data for Good Champion$ from DataIQ
DataIQ
Data for Good Champion
Champion
Data for Good 2021$ from Tableau
Tableau
Data for Good 2021
EMEA

What our consultants are working on

We believe that sharing knowledge and expertise is key to driving innovation and growth in the data community. That's why we're excited to share our latest insights, tutorials, and industry trends with you through this blog.

Written by our team of experienced data consultants, these posts aim to solidify their own learning while giving back to the community.

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Thu 27 Nov 2025 | Lorraine Ferrusi
When things don't go quite according to plan
Every project begins with the task of charting a clear path forward, carefully considering what is required to achieve the desired outcomes and meet all objectives
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Thu 27 Nov 2025 | Matthias Albert
Schrödinger's Commit: Superposition-Based Version Control with Git Tags
Have your cake and eat it too: Multiple local states, none of them "real" until observed by the remote.
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Thu 27 Nov 2025 | Lorenz Nacilla
Pipeline Week - Day 2
Day 2 of pipeline week and this time was more focused on setting up my s3 bucket to get the data I have extracted from the MailChimp API to load into it
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Thu 27 Nov 2025 | Olivier Newman
What is Medallion Architecture ?
As data costs have gotten cheaper and cheaper, data teams have a tendancy to store more and more data. This can lead to situations where the database turns into a complicated mess where no one is really sure what anything is
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Thu 27 Nov 2025 | Otto Richardson
What Are Streams?
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Wed 26 Nov 2025 | Charles Yi
Building dbt Models Based on Snapshots
Yesterday I was building a dimension staging table in dbt Cloud. I anticipated that the contents of the table will change overtime, so my original plan was to implement an incremental strategy. But, I also wanted a way to keep track of the table's history
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Tue 25 Nov 2025 | Toby Horne
Introduction to Jinja
What is Jinja? Jinja is a templating language for Python that lets us write dynamic, reusable code. In dbt, we can leverage Jinja to add logic, variables, and functions to our SQL, turning static queries into flexible, maintainable transformations. Why Use Jinja in dbt? 1
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Thu 27 Nov 2025 | Alfie King
Agile Development
Throughout our Data Engineering training we’ve been exploring the core principles that shape how modern data teams work. One of these fundamentals is CI/CD, which I’ve already written a blog about. Another key pillar—equally important but often misunderstood—is agile development
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Wed 26 Nov 2025 | Matthias Albert
Advanced Git: Cut through the Noise with git log
What's the git log command? git log is commonly used to review recent recent activity on your Git repo (e.g. on GitHub, GitLab, Bitbucket). You inspect the history of past commits by walking backwards in time from HEAD (your current position) through the chain of commits
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Thu 27 Nov 2025 | Ayo Popoola
Dashboard Week Day 3: Climate Control Co-Benefits Infographic
Today's challenge for Dashboard Week was to tackle The Data Lab Data Visualisation Competition 2025 brief. The goal was to create a compelling visual story on the co-benefits of climate action using the UK Co-Benefits Atlas dataset, focused on clarity, persuasion, and insight
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Fri 14 Nov 2025 | Lorna Brown
Dashboard Week Day 4&5 - NFL Big Data Bowl 2026 - Analytics
The Big Data Bowl Breakdown 🏈📊 (Kaggle NFL Big Data Bowl 2026 — Analytics Track) For the next 2 days, DS53 will be working on the NFL Big Data Bowl 2026 Analytics challenge
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Wed 26 Nov 2025 | Anastasiia Larina
Dashboard Week Day 3: Designing My CV in Tableau
Today we worked on our second dashboard for Dashboard Week, and the task was to design a résumé using Tableau. It was definitely challenging in some parts, especially because my original CV was created in Figma, where you have much more control and flexibility when designing elements

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