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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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Fri 14 Nov 2025 | Kib Cheung
Data Prepping in Alteryx, Tableau Prep, and PowerQuery
I tackled a data prep challenge in Alteryx, Tableau Prep, and PowerQuery to see how each tool handles filtering, aggregating, and ranking top items. From Alteryx’s simplicity to PowerQuery’s M-code quirks, this experiment showed each tool’s strengths—and my growing preference for Alteryx
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Fri 14 Nov 2025 | Kib Cheung
3 Ways to Create Fixed LODs using Tableau Desktop and Tableau Prep
Fixed LODs allow you to compare values across different levels of granularity in the same view. Learn what they are, why they’re essential, and how to create them in Tableau Desktop and Tableau Prep.
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Thu 13 Nov 2025 | Lorenz Nacilla
GitHub Basics & Version Control
One of the key things I have learnt from now getting started within my journey to engineering, and by extent coding, is the principle of version control and why it is very important and how Git & GitHub plays a pivotal role in this
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Thu 13 Nov 2025 | Olivier Newman
Snowflake intergrations.
A classic data engineering task is to connect different systems together, in this blog we will run through the process of setting up the intergration of Snowflake with an S3 bucket. This will enable us to populate our snowflake instance with the data which we have in an S3 bucket
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Thu 13 Nov 2025 | Lorraine Ferrusi
Data Engineering Training Week 2
To read a more detailed account of the first week, check out the previous blog. In summary, the first week focused on the fundamentals of data engineering, providing a hands-on introduction to the stages of a data pipeline and how they interact to support evolving business needs
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Fri 14 Nov 2025 | Robin Jones
Getting Started with Alteryx: A Simple Guide to 12 Essential Tools
Alteryx is a powerful platform designed to streamline data preparation, blending, and analysis. For new users, the extensive tool palette can be daunting. However, the
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Fri 14 Nov 2025 | Aisha Senkubuge
My First Client Project Experience
This week marked our first client project which was an internal client where a coach, Robbin, acted as the CEO of PrepAir, a fictional airline company. The project came with four key objectives which were understanding customer satisfaction, HR performance, sales pricing, and operational decisions
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Tue 11 Nov 2025 | Ayo Popoola
Web scraping in Alteryx
Web scraping is the use of automated to tools to extract web data from publicly available websites
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Thu 13 Nov 2025 | Alfie King
Understanding CI/CD: What is it?
We’ve all heard the abbreviation CI/CD, but until recently, I didn’t really know what it meant. When I started the Data Engineering Extension course, the term kept coming up, and I found myself a little unsure about what it actually referred to
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Tue 04 Nov 2025 | Lorraine Ferrusi
Data Engineering Training Week 1
In November, an incredible opportunity arose to spend time in the UK office in London, returning to the classroom to deep-dive into the fundamentals of data engineering
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Thu 13 Nov 2025 | Otto Richardson
GitHub Actions and Getting Started with YAML for Orchestration
As Data engineers a common challenge once your code is set up to extract and load data is that you need it to run repeatedly to keep data fresh, for example, scheduled at night when server capacity is available
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Thu 13 Nov 2025 | Toby Horne
Reverse ETL Explained
In the Data Engineering Lifecycle, we typically focus on Extraction, Transformation, and Loading (ETL) or Extract, Load, and Transform (ELT). These traditional processes are designed to move raw data into a central repository, like a Data Warehouse, where it can be analysed

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