Automated Testing for the Data Warehouse

Case: we've integrated two sources of customers. We want to add a third source. Q: How do we at the same time know that our current integration and solutions will continue to work while at the same time integrating the new sources? A: Test it. Q: How do we get faster deployments and more stability? A: Automate the tests, so
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Azure ML Thursday 6: xgboost in R

Last Azure ML Thursdays we explored how to do our Machine Learning in Python. Python in Azure ML doesn't include one particularly succesful algorithm though - xgboost. Python packages are available, but just not yet for Windows - which means also not inside Azure ML Studio. But they are available inside R! Today, we take the same approach
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