Challenge
A leading supplier in the renewable energy sector wanted to efficiently analyze and use its diverse data sources. This included static process and plant data as well as real-time sensor data. The aim was to create a platform that combines ad-hoc analyses, data science and standard reports in an automated solution.
Approach
We evaluated different solution approaches and technology stacks to find the best option for the client’s needs. We placed particular emphasis on scalability, flexibility and cost.
The final solution utilized Infrastructure as Code for automation. This enabled an efficient, repeatable and scalable build of the platform. We used Azure Bicep for infrastructure automation, Databricks for data science operations, Azure IoT Hub for real-time sensor data integration, dbt for data modelling and transformations and Power BI for reporting and visualization.
Results
With the new data analytics platform, the customer can process and analyze data faster and more efficiently, which improves decision-making. The platform supports ad-hoc analyses, standardized reports and advanced data science applications. This optimizes the customer’s processes and increases efficiency. Thanks to the automation provided by Infrastructure as Code, the solution can be scaled easily and quickly to keep pace with the company’s growth.