Services

Data Engineering

Our data engineers design and implement cloud solutions that capture, transform, analyze, and secure your data. Our data solutions are always based on the most suitable tools and techniques. 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 that you quickly achieve concrete results. Always from our technical vision.

01

Focus on result

Do you want a clear return on investment of the solution we develop for you? Our customers are making a significant step forward, they are becoming more efficient and effective.

02

End-to-end data solutions

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

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 most suitable technology for your organization.

The advantages

Why?

You wouldn't build a house without a foundation, would you? This also applies to data. Data engineering is an essential part of achieving your milestones. First a solid foundation, then expand. Gut feeling may get you a long way, but you want more than just a good feeling, right?

Single Source of Truth (SSOT)
An SSOT ensures that everyone within 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 work, reduces errors, and improves decision-making.
Data security
we want to protect your data against unauthorized access and ensure that the way we process data complies with regulations such as the General Data Protection Regulation (GDPR). Better safe than sorry.
Scalability
As you grow and generate more data, we ensure that your infrastructure is scalable. We design systems that can handle large volumes of data and grow with the needs of your organization so that you can get the most out of it.
Data quality
Garbage in, garbage out. We ensure that your data remains clean, accurate, and up to date by applying checks and validations. This makes the quality of your data consistent and reliable. No more decisions based on gut feeling.
Data integration
Whether it is structured data from databases or unstructured data such as text files. All your available data is integrated so that you can work with it properly.
Technologies

Know more about,

Cases

Where we do this,

Check 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.

De Databar 18 - Data Democratization

Dit keer in de databar gaan we het hebben over data democratization. Een mond vol, daar laten we het dan ook bij. Veel luisterplezier.

De Databar 17 - Handige Python Packages

Cees, Robert en Sam duiken deze aflevering de techniek in. We gaan het hebben over Python Packages. Packages die je misschien (nog) niet kent en super handig zijn. Veel luisterplezier!

De Databar 16 - Data & AI Trends voor 2024

Welkom bij de eerste aflevering van 2024, schuif lekker aan. We gaan vooruit blikken en Data & AI trends voorspellen voor dit kersverse jaar 2024. Wordt dit nou echt het jaar van de zelfrijdende auto’s? Wat gaan we horen van augmented analytics? Er komen allemaal nieuwe tools/ toepassingen, welke blijven plakken?

De Databar 15 - Eindejaarsspecial 2023

Wat een jaar, 2023, een AI hype jaar. We bespreken wat we allemaal hebben meegemaakt en blikken terug op onze voorspelling in de vorige eindejaarspodcast van 2022!

De Databar 14 - Data Strategie

De R zit in de maand het is guur, nat en winderig buiten hoogste tijd om eens lekker binnen onze podcast te luisteren. We gaan het hebben over data strategie met onze data strategen of ook wel, data innovatie consultants, analytics translators, programma managers, product owners 😉

De Databar 13 - LMM veiligheidsrisico’s

In deze aflevering van de Databar schuiven Manouk Draisma en Jakob Cassiman aan. Allebei entrepreneurs die zich verdiepen in LLM’s en vooral in de veiligheid hiervan. Wat voor veiligheidsrisico’s zijn er? Denk aan datalekken en prompt hacking.

De Databar 12 - De toenemende rol van Engineering ten opzichte van Data Science

Duik dieper in de evoluerende wereld van data engineering met Job, Robert en onze eigen data engineer Wink! In deze boeiende aflevering verkennen zij de essentie van data engineering, de nauwe band met data science en de toekomstige ontwikkelingen van het werkveld.

De Databar 11 - De Data Scientist Essentials

De werkomgeving speelt een cruciale rol in het succes van een data scientist. Maar wat maakt een werkplek echt ideaal? Job, Sam en Robert verkennen de verschillende aspecten, van de fysieke omgeving tot de technologische hulpmiddelen die essentieel zijn voor het uitvoeren van complexe analyses en modelleringen.

Blog

Blogs over Data Engineering

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

What are the possibilities of GenAI, Large Language Models (LLMs) for the internal organization? How to implement an LLM effectively for organizations….

Machine learning (ML) doesn’t stop at developing a model; that’s just the beginning. Many organizations focus primarily on building a model but…

In the competitive world of food and supplements, data offers unprecedented opportunities for brands to differentiate themselves. For brands focused on transparency,…

NLP LLM circle

What do you want to do with data?

This field is for validation purposes and should be left unchanged.
These organizations do that.