Application Lifecycle Management in der Azure Data Factory

 
German Intermediate Technology

Was ist die Definition of Done in deinem Datenprojekt auf Azure? Bist du wirklich fertig nach dem ersten erfolgreichen Durchlauf der Pipeline mit ein paar Dummy Daten? Seit den Anpassungen in einer nächtlichen Hau-Ruck Aktion geht nichts mehr und du hast weder Ahnung was genau passiert ist noch ein Fallback um es wieder zum Laufen zu bringen? In dem Vortrag werden Methoden, Technologien und Best Practices vorgestellt, wie man in der Azure Data Factory strukturiert und sicher entwickeln kann, in dem man die Integration und Dienste von Azure DevOps nutzt. Das wird dich hoffentlich vor solchen Katastrophen schützen und gleichzeitig die Arbeit im Team ermöglichen. Daneben schauen wir uns die Unterschiede bezüglich continous integration & development (CI/CD) an, wenn man Data Pipelines in Azure Synapse Studio entwickelt.

Speaker

Stefan Kirner

DRIVEN BY DATA!

Stefan Kirner is Director Business Intelligence at scieneers GmbH and works since SQL Server 2000 with the Microsoft Data Platform. He is meanwhile certified as Azure Data Engineer Associate and MCSE for Cloud Platform and Infrastructure / Data Management and Analytics . He is also a local chapter leader of PASS in Karlsruhe since 2006.

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