In December 2019, Cloudbrew took place in Mechelen (Belgium). Hosted by the AZUG user group and proudly sponsored by AE, Cloudbrew is an annual – and free – two-day cloud conference that focuses on all things Microsoft Azure. This year’s edition saw Koen Verbeeck, one of our very own consultants, take to the stage with a session on ‘Moving Data around in Azure’, in which he explored some of the various methods of moving data from one service to another. Did you miss out on the event? Not to worry. In this blog post, we gladly summarize Koen’s findings for you!
Cloudbrew 2019 - How to move data around in Azure
Topics:
Analytics
Cloud
Big Data
Information Management
Data
Business Intelligence
Spark
Databricks
Azure
Azure Data Factory
Cloudbrew
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When it comes to logging execution information in Integration Services, there are multiple options available. Do you take matters in your own hands and build your own custom logging framework? Or do you let the catalog take care of things?
Can't decide? Check out our guidelines and tips on logging in your SSIS packages and projects.
