A practical guide that saves you weeks of work
Microsoft Fabric offers several ways to ingest data. But each approach affects BI performance, cost, security, and how your teams work.
That’s why we created a concise, highly practical guide based on real-world implementations across Czech and international enterprises.
This guide helps you quickly determine which ingestion approach fits your scenario — and why.
What You’ll Find Inside
- Four primary data ingestion scenarios in Fabric — from self-service BI to real-time monitoring
- The most common enterprise data challenges — and how to address them in Fabric
- Recommended tools and technologies for each scenario (Dataflows Gen2, Pipelines, Eventstreams, Spark…)
- How to handle data from on-prem systems, cloud storage, and data lakes
- When to choose batch loading, when to use streaming, and when not to move data at all
- How large enterprises approach reporting, ad hoc analytics, and operational monitoring
- Common ingestion pitfalls — and recommendations from our senior Fabric architects
Who This Guide Is For
- CIOs, CDOs, and BI/data leaders
- Data architects and analysts
- IT teams planning a transition to Microsoft Fabric
- Anyone who wants a clear, practical understanding of how to ingest data into Fabric without unnecessary complexity
Download the guide to confidently choose the right ingestion strategy for your team, systems, and future growth.
