Why RevoData
At RevoData, we want to make the enormous potential of Data & AI accessible to everyone. We do this by partnering with Databricks and making sure our team is 100% certified.
Proven expertise and
partnership with Databricks
Select Partner
We are experienced Databricks specialists across engineering, data science, machine learning, and business analytics. Our proven client success and certified expertise have earned us recognition as a Databricks Select Partner.
Databricks Champion
We have one of the highest number of Databricks Champions in EMEA, showing strong recognition from Databricks. This invite-only title proves our team’s hands-on expertise and commitment to excellence.
100% Certified
100% of the RevoData consultants are Databricks certified in their areas of expertise. Many hold multiple certificates and badges, reflecting our strong commitment to continuous learning and growth.
Our way of working
2. Build
Build the data project components planned in the design phase:
- Use reusable components from RevoData.
- Develop Data Pipelines and AI models for your application.
- Measuring & improving data quality.
1. Design
Preparation of a design and detailed plan for the implementation of a data initiative.
- Identifying data sources.
- Defining the data structure.
- Determine how the data will be transformed and stored.
- Work out how data is used within your company.
Production
The underlying infrastructure and operational controls do not need to be built and maintained – we do this for you:
- Less operational overhead
- Better scalability
- Cost Savings
- Greater flexibility
- Better security
Idea
Philosophizing together about what the future might look like.
- Establishing hypotheses and what you expect to find in the data.
- Does this data already exist, or does it need to be created?
- Defining actions to be taken based on the insights gained.
- Establishing value, also called the business case.
4. Deploy
Ensuring that the data platform is ready to use and accessible to your people.
- Putting the data platform into production and making it available to your employees.
- Providing user documentation.
- Training your people.
- Guiding the change to a data-driven organization.
3. Test
Ensuring that the data platform operates correctly and meets the requirements established in the design phase.
- Checking that data is correctly transformed and loaded
- Testing the applications and tools that have been developed
- Identify and resolve any issues before the project is rolled out
5. Review
Assess whether the data platform meets its stated objectives.
- Collecting feedback from users to identify any problems or areas for improvement.
- Make any necessary adjustments to the data platform.
- Establish follow-up steps to maximize value.
Our partners
RevoData is here to enhance your Data & AI journey, from setting up your data strategy and creating your data platform to training your team.
We are RevoData, your trusted partner when you do Databricks. And here’s why we choose Databricks. Databricks includes:
- Simple
- Open
- Multicloud
A data Lakehouse unifies the best of data warehouses and data lakes in one simple platform to handle all your data, analytics, and AI use cases. It’s built on an open and reliable data foundation that efficiently handles all data types and applies one common security and governance approach across all your data and cloud platforms.
- Apache Spark
- MLFlow
- Delta Lake
- Re-Dash
- Delta Sharing
Managed Databricks
Not interested in deploying, implementing, and managing the platform yourself? Then purchase our Managed Databricks services.
Our events
Immerse yourself within Databricks Geospatial during this full day, hands-on training (English) on 11.12.2025. During this workshop, you will learn
Together with Databricks we are co-hosting this session to get you up to speed on the Data Warehousing and the