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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
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EMEA
Tableau
Community Impact 2024
EMEA ESMB
DataIQ
Data for Good Champion
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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.
Tue 20 Oct 2026 | Ismail Abdillahi
One click in Tableau Prep, one function in Power Query: cleaning messy text with fuzzy clustering
In my first week at the Data School, I completed Preppin' Data 2021 week 1 in Tableau Prep. One step was cleaning the Bike field down to three values: Mountain, Gravel and Road. The field held 8 different spellings for 3 bike types
Sun 18 Oct 2026 | Alexander Mackay-Smith
Web Scraping with Python: Building a Camera Dataset
I have a strong interest in photography, having worked in a camera shop for an entire year before starting at the data school. During my time at the shop I found remembering all the specs of older DSLR Cameras was a bit tricky
Wed 05 Aug 2026 | Oscar Kriebel
Have a Slice of the Color Pie: A Guide to the 2026 Week 42 Workout Wednesday
For Week 42 of the 2026 Workout Wednesday, I've been invited to create a dashboard for this event, which you can find on my profile
Mon 19 Oct 2026 | Ianah Bantay
Understanding Open Table Formats
As organizations become increasingly data-driven, they need somewhere to store all that information. Databases, data warehouses, and data lakes are commonly used for this purpose, but they don't all manage data the same way.
In data lakes, information can be spread across thousands of files
Mon 19 Oct 2026 | Dev Bhatnagar
Understanding Data Lakes, Data Warehouses, and Cloud Storage
We've never had more data, and it's never been so affordable to store it. So why is managing it still such a challenge?
Today data is store in three main ways Data Lake, Data Warehouses and clouds, each is dependent on the other and essential in letting a business successfully..
Mon 19 Oct 2026 | Derek Lein
Understanding the Relationship Between Databricks and dbt
As a newcomer to data engineering, many of the programs and how they relate to each other can be difficult to wrap my head around. Databricks and dbt are a good example of this. Beyond their similar names, neither stores data, both sit on top of other systems, and both can perform transformations
Mon 19 Oct 2026 | Marcus Rocco
The Data Journey: How Data Flows – Understanding Data Architecture
Data needs a blueprint.
Just as a building needs more than walls and a roof, organizations need more than individual systems to manage their data. They need a blueprint that determines how everything connects and works together
Mon 19 Oct 2026 | Dylan Serino
Data Lakes: What Are They and What Do They Actually Look Like?
We're getting into some data engineering topics this week, and something that stuck out to me within data structure types is data lakes. I was very curious how this data actually looks when using a software such as AWS
Mon 19 Oct 2026 | Michael Guillette
Data Security: Protecting the Information Behind the Insights
In a world where more data is being collected, stored, and shared than ever before, one thing has become increasingly important: security.
Think about it. Organizations rely on data to make decisions, understand their customers, and improve operations
Mon 19 Oct 2026 | Xica Felix
Understanding Data Orchestration
As part of week three of Data School, we are covering Data Engineering Fundamentals. One of the most interesting aspects I heard about was data orchestration. Data orchestration coordinates four main parts of the data lifecycle: ingestion, workflow management, serving data, and observability
Mon 19 Oct 2026 | Jalil Cooper
The Benefits of Deploying DataOps
For a long time, DevOps has been a long standing practice in the software development world that has helped monitor, validate and automate workflows
Want to know more?
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