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DentaCore

Azure data platform with Databricks lakehouse and Power BI

For DentaCore, CONSENSO TECH designed a modern data platform on Azure. The solution is based on a lakehouse approach with Azure Databricks, structured bronze, silver and gold layers, and Power BI as the reporting and dashboarding layer.

At a glance

Starting point

  • Building a scalable data platform on Azure
  • Structured processing of data from several source systems
  • A need for clean separation between raw data, cleansed data and reporting models
  • A foundation for Power BI dashboards and future analytics use cases
  • An operating and support model for running the platform day to day

Solution

  • Design of an Azure data platform
  • Lakehouse architecture with Azure Databricks
  • Bronze, silver and gold layers for structured data processing
  • Transformation and harmonisation of source data
  • Power BI as the reporting and dashboarding layer
  • Operations, support and further development taken into account

Result

  • A scalable foundation for reporting and analytics
  • A clear data architecture with traceable processing steps
  • Better data quality through structured transformation
  • Reusable data models for Power BI
  • A future-proof platform for further BI and analytics requirements

DentaCore needed a scalable data platform to prepare, transform and make available data from various source systems for reporting and analysis. The goal was to create a modern architecture supporting both operational reporting and future analytics requirements.

CONSENSO TECH developed a target architecture for an Azure-based data platform with Azure Databricks as the central lakehouse element. The architecture structures data into bronze, silver and gold layers: raw data is first ingested unchanged, then cleansed and harmonised, and finally modelled for reporting and business analytics use cases.

Power BI serves as the visualisation layer for dashboards and reports. Operations, support and SLA aspects were also considered, so that the platform not only works technically but can be maintained and developed further in day-to-day operation.