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MS Marketplace: Data Ingestion
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Microsoft Azure & Microsoft Fabric Data Ingestion Architecture Implementation


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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As a specialist in intelligent data solutions, HICO Group AG has a long track record of successfully implementing sophisticated data platform and analytics projects in the DACH region.

Build a robust, enterprise-wide data ingestion layer on Microsoft Azure or Microsoft Fabric—in days instead of months. We help companies build a scalable, Microsoft Azure- or Microsoft Fabric-native data platform or expand existing cloud architectures in a targeted manner. We handle architecture design, implementation, configuration, and enabling your team.

Instead of developing individual solutions for every new data source, we work with you to establish a standardized, maintainable ingestion architecture within Microsoft Azure or Microsoft Fabric. Our proven, metadata-driven implementation approach serves as an accelerator—fully integrated into your target platform.


Key Service Components


  • Implementation of incremental delta load processes in Microsoft Azure Data Services or Microsoft Fabric (timestamp-, key-, or token-based logic)
  • Design of automated data pipelines, including schema detection and flexible mapping
  • Setup of scalable orchestration and scheduling mechanisms
  • Integration of monitoring, logging, and structured error handling within the Microsoft Azure/Microsoft Fabric environment
  • Architecture review and optimization of existing cloud data platforms


Your Added Value


  • Accelerated onboarding to Microsoft Azure or Microsoft Fabric
  • Structured expansion of existing cloud data architectures
  • Significantly reduced implementation effort for new data sources
  • Scalable, governance-enabled ingestion layer for 10 to 500+ data sources
  • Sustainable knowledge transfer to your internal Team


The scope of this implementation is typically based on an estimated workload of at least 10 consulting days. The actual workload may vary depending on complexity, the data environment, and specific requirements, and may be higher as a result.


This service is available in German.


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