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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
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
Champion
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.
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
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
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
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
Thu 13 Nov 2025 | Charles Yi
Python Decorators
Several days ago, I created an API call to the Amplitude API for events data using python.
For modular error handling, I nested my request call in a function to raise custom exceptions based on what error the request returned.
In my main script, I wrapped my request function in retry logic
Wed 12 Nov 2025 | Mel Niere
New York Alumni Spotlight: Erlina Cahyadi
The career paths that lead to The Data School are as unique as the individuals who walk them. For Erlina Cahyadi, her journey began not in data, but in the world of TV advertising. While working in the marketing sector, she also served as a data analytics captain for a program called COOP Careers
Wed 12 Nov 2025 | Charles Yi
Database vs Data Warehouse vs Data Lake
In today’s data pipeline, data often travels through different repositories as it is processed for various purposes. This blog explores the primary types of data repositories: databases, data warehouses, and data lakes.
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Mon 10 Nov 2025 | Francesca Plaskett
Could it be magic? No. Just dynamic zone visibility.
A how-to guide on implementing dynamic zone visibility.
Tue 11 Nov 2025 | Ayo Popoola
Accessing APIs in Alteryx: A Step-by-Step Guide Using Spotify's Web API
An API (Application Program Interface) is a set of rules and protocols that allow you to create applications that access the features or data from a database, operating system, or another application
Fri 31 Oct 2025 | Olivia Millar
Semantic Models in Tableau Next
Tableau Next utilises Semantic Models and Logical Views in order to structure your data.
A Semantic Model is Tableau Next's equivalent of a data model in Tableau Desktop
Tue 11 Nov 2025 | Ash Aravindhan
Tableau Next
DS53 recently, had the opportunity to explore Tableau Next, Salesforce's next-generation analytics platform, with a focus on "agentic analytics" powered by AI
Tue 23 Sep 2025 | Ash Aravindhan
Introduction to Alteryx & The Core Certification
At the Data school, we are all about learning tools, and my journey with Alteryx has been a ride of drag-and-drop workflows, some head-scratching challenges (which may or may not have included moments where I wanted to pull my hair out), and the ultimate test: the Alteryx Core Certification exam
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