MS Marketplace
Data Engineering Automation (DataOps) on Microsoft Azure Workshop
Written by
Mischa Kaltz
BI Consultant
Mischa Kaltz, BI Consultant at HICO Group AG, specializes in modern data and cloud solutions as well as business intelligence concepts that help companies efficiently implement data-driven decision-making. With expertise in data engineering, ETL processes, and analytics, as well as certifications in Talend and Microsoft Azure, he supports organizations in transforming complex data landscapes into scalable and sustainable value-adding solutions.
Publication date
May 22, 2026
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AI-Ready Data Foundation Check
As a specialist in intelligent data solutions, HICO Group AG has a long-standing track record of successfully delivering complex data platform and analytics projects across the DACH region.
This workshop demonstrates how DataOps principles can be effectively applied to Microsoft-based data platforms to sustainably improve the quality, speed and stability of data pipelines.
What is Assessed?
- Fundamentals of DataOps and CI/CD for data platforms on Microsoft Azure
- Use of Microsoft Azure DevOps or GitHub for source code, pipeline and release management
- Automation of build, test, and deployment processes for data pipelines on Microsoft Azure and Microsoft Fabric
- Governance, security and quality aspects in the context of Microsoft-based DataOps architectures
Your Added Value
- Faster and reproducible delivery of data products on Microsoft Azure
- Increased stability and traceability of data pipelines
- Reduced manual effort in operations through automation
- Scalable DataOps foundation for growing Microsoft data platforms
The scope of this workshop is typically based on an estimated effort of at least 2 consulting days. The actual effort may vary depending on complexity, data landscape, and individual requirements, and may be higher accordingly.
This service is available in German and English.