Architectural blueprints for the Modern Data Warehouse

This session will walk you through five different ways to set up an affordable Azure based Data Warehouse solution. Covering pros and cons with each of the architectures.

Classic solutions with source system in the one end and the reporting in the other end. But what do we put in the middle? What are the available services to extract, transform and load our data? And how about orchestration and monitoring?

Does it matter if we choose schema on read or schema on write? What are the drawbacks and benefits?

Special focus on reusing the competencies we have already acquired from making the same solutions on SQL Server.

Just Blindbæk

Microsoft BI consultant, trainer, speaker and MVP

Århus, Denmark

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