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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.
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
Emerging Partner of the Year
Alteryx
Partner of the Year
EMEA
Tableau
Community Impact 2024
EMEA ESMB
DataIQ
Data for Good Champion
Finalist
DataIQ
Best Data Academy or Skills Development
Finalist
Alteryx
Partner of the Year
Europe
DataIQ
Data for Good Champion
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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.
Wed 17 Jun 2026 | Shivam Wadhia
From CSV to Star Schema: Modelling Sample Superstore using dbt & Snowflake
Here, I discuss a project in which I normalised Sample Superstore's CSV and then denormalised it into a star schema, using dbt and Snowflake.
I started modelling in PostgreSQL, which quickly began to feel limiting for what I wanted to do
Wed 17 Jun 2026 | Harvey Lloyd-Smith
Alteryx One - App Builder
Alteryx One is a single platform designed to bring together analytics, automation and AI. It includes multiple tools/features which encompass many aspects of the data analytics process
Thu 18 Jun 2026 | Gerard Najarro
What Five Fridays Taught Me About Consulting
For the first five weeks, every Friday at The Data School is a project day. You are assigned a mock client, given a brief, and from that moment the clock starts. Research, sketch, plan, build, present. All in one day, no extensions, no do-overs
Thu 18 Jun 2026 | Martin Regan
Bringing a Snowflake Cortex Agent into Tableau
After building my Formula 1 chatbot with Snowflake Cortex Agents, I wanted to take the project a step further
Thu 18 Jun 2026 | Jude Royall
Table Calculations in Tableau
Breaking down how table calculations work and exploring common use cases.
Thu 18 Jun 2026 | Amelia Young
Table Calculations in Tableau Desktop
An introduction to Table Calculations in Tableau Desktop
Thu 18 Jun 2026 | Jude Royall
My First Look at Snowflake CoCo
This blog summarises my thoughts and key learnings from a recent workshop focused on Snowflake CoCo (Cortex Code).
Thu 18 Jun 2026 | Sophie Yeung
Introduction to Table Calculations
What are Table calculations?
Table calculations are essentially secondary aggregations applied exclusively to the data returned in the view. They can be identified with the symbol (Δ)
Thu 18 Jun 2026 | Kaori Ikarashi
Understanding Table Calculations in Tableau
Creating charts and dashboards in Tableau helps visualise data, but sometimes we want deeper insights such as trends over time, rankings, growth rates, or cumulative performance. This is where Table Calculations become useful
Wed 17 Jun 2026 | Mila Kholodiy
Understanding Order of Operations and LOD Expressions in Tableau
Level of Detail (LOD) expressions allow you to perform calculations at a different level of granularity than what is displayed in your visualization.
Wed 17 Jun 2026 | Ben Hayward
Table Calculations in Tableau Desktop
Understanding Table Calculations
Table calculations are local calculations. Tableau queries your data source, pulls the aggregated data into your local machine, and then applies the calculation to what is visible in the view
Wed 17 Jun 2026 | Martin Regan
From Dataset to AI Chatbot: Building a Formula 1 Agent with Snowflake Cortex
As part of a Snowflake Cortex AI workshop, we were challenged to build a chatbot from a dataset of our choosing. The goal was to take structured data, create a semantic model, build an AI agent on top of it, and then deploy the finished solution as a Streamlit application
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