Cloud-native data platform with Azure Databricks & Power BI

Leading logistics company revolutionizes data infrastructure

With cloud-native lakehouse migration

Logistics group

> 5

Source systems

100%

Cloud-native solution

More independent teams

Central

Governance layer

> 60%

The Fortune 500 uses Databricks

Overview

Customer:

Logistics group

Industry:

Logistics

Technologies & Systems used:

Azure Databricks

Azure Data Factory

Azure SQL

PowerBI

Databricks Unity Catalog

Services & Modules:

Self-service BI

Cloud-native solution

Data Intelligence Solutions

Initial Situation

Cloud migration & data platform with Azure Databricks

Cloud-native architecture for near-real-time data, self-service BI & scalability

A global logistics company was faced with the challenge of modernizing its outdated on-premises data infrastructure. The goal was to migrate an on-premise data warehouse to a scalable cloud data platform that consolidates data from file shares, SFTP servers, SAP HANA, Teradata, PostgreSQL, Salesforce and APIs - including near-real-time availability for operational decisions. Together with ruhrdot, a cloud-native architecture was created on Azure Databricks that combines self-service BI, automated ETL processes and central governance in one platform.

Challenges

Outdated systems prevented data-driven scaling

The existing infrastructure was no longer able to meet performance, data availability, and governance requirements.

Limited scalability and computing on an on-prem MSSQL server
Distributed source systems (SAP HANA, Salesforce, Teradata, PostgreSQL, file shares, SFTP) with different formats and protocols
No consistent database for strategic management and analytics
Lack of real-time capability for operational decisions in business units
No access to self-service BI tools for business areas
No standardized governance model for data sharing and access control

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Added values

Scalable data strategy for all business units

The new platform provides noticeable improvements in efficiency and decision-making capacity.

Central consolidation of all data sources and business units on one platform
Near-real-time access to decision-relevant data
Self-service BI enables well-founded operational and strategic analyses
Platform is ready for future growth and new requirements
Automation reduces manual effort and saves resources
Governance & compliance through Databricks Unity Catalog

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Solution

We solve these problems.

Digital transformation for businesses

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Heading

Cloud migration with Azure Databricks

Replacing the migration of an on-premise data warehouse with a scalable lakehouse model with Azure Databricks and Azure Data Factory

Automate all ETL processes

Integration of all source systems via event-based pipelines and automated data flows - with minimal end-to-end latency for maximum results

Near-real-time data processing

Seamless supply of operational decisions through almost real-time delivery via a harmonized bronze-silver-gold data model

Self-service business intelligence

Individual dashboards and KPIs for five business units with Power BI - independent of central IT teams, easy to use for every stakeholder

Centralized Governance with Unity Catalog

Access control, data classification and compliance via the Databricks Unity Catalog - completely audit-proof and scalable

Conclusion

Azure Databricks as a strategic foundation for data-driven growth

Through automated data integration, self-service BI and central governance, operational excellence and strategic management were combined, on a platform that grows with the company. It shows how companies with cloud-native data architecture on Azure Databricks are also mastering the transition from fragmented data landscapes to a scalable, future-proof enterprise data platform.

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Success-Stories

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