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Databricks’ consulting partner Cegeka

Accelerate business results

Databricks’ Lakehouse Platform helps organizations accelerate innovation and drive business value by unifying data teams with an open, scalable platform for all of their data-driven use cases.

Cegeka brings technology, industry and use case expertise to help you make the most of the Databricks Lakehouse Platform.

Advantages of Databricks

Build data foundations for advanced use cases in the future 

Efficient and reliable data processing with full control 

One unified experience on one unified platform 

Extreme flexibility on scaling and compute power and thus cost control  

Turning your raw data into insights with a unified data lakehouse

Traditionally business data have been highly structured data, and you stored them centrally in a data warehouse. Thanks to business intelligence, you turned those data into insights.

However, more and more data relevant for your business are unstructured, such as images, videos and social media feeds. They are not organized in a pre-defined manner, and you need a data lake to store and process them.

The challenge with a data lake is that it can quickly become a data swamp if you just dump data into it. Moreover, having to use different systems depending on whether your data is structured or unstructured isn’t efficient.

Unifying structured and unstructured data

That’s why Databricks introduced their data lakehouse: a unified system to store and process structured and unstructured data in an organized way. This eliminates the data silos that have traditionally separated business intelligence (BI) and artificial intelligence (AI, more specifically machine learning) applications. As a result, your BI developers and data scientists are able to use the same platform, with the same user interface, so you can increase cross-team understanding of your data use cases and leverage the full potential of your data.

The Databricks Lakehouse Platform gives your data processing the reliability and performance you need, so you can focus on putting your data to work. Under the hood it uses open source solutions and open data formats, so you’re not locked into a walled garden. And with plugins you get access to a big ecosystem of external open source projects and Databricks partners, with a series of capabilities at your fingertips.

Data lakehouse in the cloud

Databricks can be run on the public cloud providers Google, AWS and Azure. At Cegeka we’re running the Databricks framework on Microsoft Azure. This is a cost-efficient and scalable way to run a data lakehouse. It’s a fully pay-per-use model: you only pay for the data you store and then only for data processing while it’s running.

We’ve created our own Cegeka framework around Databricks. Thanks to this, we’re able to set up a data lakehouse very efficiently. After plugging in your data sources, we can immediately start processing your data.

Cegeka Cloud Reference Architecture

Cegeka Cloud Reference Architecture


From raw data to insights

Building a strong data foundation will allow your company to start small, and expand to more advanced use cases as you go. The lakehouse concept is the modern architecture for data and AI. Allowing you to start with use cases based on Business Intelligence (BI), and going forward tapping into the BI reports to create value with Artificial Intelligence (AI) and Machine Learning (ML). Think big and start small.

A data lakehouse is a strong technological foundation to build on, but you also need the right skillset to get the results you want. That’s were our Data Solutions team comes in. With their technological and data science skills they transform your raw data into actionable insights.

Reference cases

Over the years, Cegeka has built up valuable Databricks experience, with a team of certified Databricks professionals. Here are some of our recent projects where we’ve implemented the data lakehouse concept with Databricks. These stories will show you exactly what we’re talking about.


For Flemish grid company Fluvius, Databricks on Azure is used to scale all business rules to process data from the new digital meters, as well as invoice calculation.

Read case

KRC Genk

For football club KRC Genk, Databricks data lakehouse allows the club to tackle the pigeon hole structured way of storing data. Allowing use cases to improve the fan experience. 

Read case


For parking provider Q-Park, Databricks processes data from the cars in their parking lots and the smart Q-park Mobile parking app, which is an excellent basis for marketing activities. 

Read case

Data Solutions

Become a data company

We believe data is more than just a buzzword. It is essential for an organization to enable growth, reduce risks and save costs. Listen to our story and take a look at all our data solutions:

Why Cegeka?

We know what we’re talking about

Our people are experts in what they do, so they deliver maximum value to you. Not only do they have technical knowhow, but they also understand your business. We have certified Databricks consultants, as well as consultants certified in many other domains. And we’ve created our own Cegeka framework around Databricks, for a faster and more efficient setup.

We work with trusted technology partners

Cegeka has a partnership with Databricks, which gives us direct access to their solution architects for technical challenges and specific questions keeping our knowledge sharp. Cegeka is also a Microsoft Gold partner. Although we value these partnerships, we are technology agnostic: we always select the right solutions for you. 

In close cooperation

As a family-owned IT solutions provider founded on craftsmanship, we work in close cooperation with our customers, through long-term, trust-based relationships. Proximity, proactivity and human interaction are our keys to your success. 

We’re a one-stop-shop

We offer end-to-end solutions in data governance, cloud, security, software development, smart consulting, and much more, creating real value. Short communication lines between all those people guarantee efficient implementation of your projects. 

Contact us

Let’s connect to discuss your potential BI, AI or ML use cases

  • Kristel Demotte

    Kristel Demotte
    Global VP Data Solutions