Services

Data Engineering

Our experts design and implement cloud solutions that capture, transform, analyze and secure your data. We do this with the most appropriate tools and techniques, combined with customization. So you can get the most out of your data.

Our approach

This is how we do it,

We work with a use case-driven approach so you get concrete results quickly. Always from our technical vision.

01

Focus on result

You want a clear return on investment on the solution we develop for you? Our clients make a clear step forward, they become more efficient and effective.

02

End-to-end data solutions

We believe in goal-driven end-to-end data solutions. When you only have the foundation, you don't have a house yet. For example, you want to be able to connect your BI dashboards and Data Science & AI to your data platform as well.

03

Technical Excellence

We know what wisdom is. Our experts have the technical knowledge, experience and a strong focus on quality. We work with the most advanced tools and techniques and always choose the best fit for your organization. These do not always have to be the latest techniques.

The advantages

Why?

You don't build a house without a foundation, do you? The same is true for data. Data engineering is an essential component for achieving your milestones. First a solid foundation, then build out. On gut feeling, you may get a long way, but you want more than a good feeling, don't you?

Single Source of Truth (SSOT)
An SSOT ensures that everyone in the organization has access to the same data. This way, everyone works with the same and correct data. We also call this one version of the truth. This prevents duplication of effort, reduces errors and improves decision-making.
Data security
we want to protect your data from unauthorized access and ensure that the way we process data complies with rules such as General Data Protection Regulation (AVG). Better safe than sorry.
Scalability
As you grow and generate more data, we make sure your infrastructure is scalable. We design systems that can handle large volumes of data and grow with the needs of your organization, so you can get the most out of them.
Data quality
Garbage in, garbage out. We make sure your data stays clean, accurate and up-to-date by applying checks and validations. This ensures the quality of your data is consistent and reliable. No more decisions based on gut feeling.
Data integration
Be it structured data from databases or unstructured data such as text files. All your available data will be integrated in this way so that you can work with it properly.
Technologies

Know more about,

Cases

Where we do this,

Check out our purpose-driven data solutions.

Podcast

The Databar

Welcome to the Databar. The Dutch podcast about Data Science & AI. Robert van Straalen (Lead Data Scientist), Cees Kaandorp (Data Scientist), and Sam van der Voort (Data Scientist) take you into the world of Data Science & AI, they discuss what catches their eye, occasionally delve into the technology, but especially enjoy talking to interesting guests.

The Databar 20 - What do respect and data have in common? In conversation with the Respect Foundation

This time in the databar we will talk about data democratization. A mouthful, so we will leave it at that. Enjoy listening.

The Databar 19 - De Science in Data Science

This time in the databar we will talk about data democratization. A mouthful, so we will leave it at that. Enjoy listening.

The Databar 18 - Data Democratization

This time in the databar we will talk about data democratization. A mouthful, so we will leave it at that. Enjoy listening.

The Databar 17 - Useful Python Packages

Cees, Robert and Sam dive into the technology in this episode. We are going to talk about Python Packages. Packages that you may not know (yet) and are super useful. Enjoy listening!

The Databar 16 - Data & AI Trends for 2024

Welcome to the first episode of 2024, join us. We’re going to look ahead and predict Data & AI trends for this brand new year 2024. Will this really be the year of self-driving cars? What will we hear about augmented analytics? There will be all kinds of new tools/applications, which ones will stick?

The Databar 15 - End of Year Special 2023

What a year, 2023, an AI hype year. We discuss what we’ve all experienced and look back at our prediction in the previous end of year podcast of 2022!

The Databar 14 - Data Strategy

The R is in the month, it’s cold, wet and windy outside, time to listen to our podcast inside. We’re going to talk about data strategy with our data strategists, or data innovation consultants, analytics translators, program managers, product owners 😉

The Databar 13 - LMM safety risks

In this episode of the Databar, Manouk Draisma and Jakob Cassiman join us. Both entrepreneurs who delve into LLMs and especially into their security. What kind of security risks are there? Think of data leaks and prompt hacking.

Blog

Blogs over Data Engineering

Read the latest blogs about data strategy, data engineering, and data science & AI.

Four years after brewing the first Dutch data-driven beer, Uiltje Brewery and Data Science Lab are joining forces again. This time with…

A Managed DevOps Pool is the ideal solution for managing the infrastructure you need to run a DevOps pipeline. No hassle with…

DeepSeek has spectacularly positioned itself as a formidable competitor in the world of Large Language Models (LLMs). With stock prices surging and…

NLP LLM circle

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