Have you started your data platform migration yet? If not, you can be certain that your competitors have either already migrated, or will be soon. What are you waiting for? A modern data platform opens a wealth of opportunities for your organization.
'Are you sure it's not working? It was working just fine on my computer.' Sound familiar?
Errors are a part of production, but when going from development to production under a time crunch, you simply may not have the time or the workforce to go back and search through endless SQL statements and data flows. Maybe a SQL statement changed, or maybe your connection manager was altered, but what if it was something so small, it is almost impossible to find?
You’ll probably agree that one of the most valuable assets to your company is your customer database. But do you know that bad data in your client addresses can cost you thousands of dollars each year? 4.7% of ecommerce address data is undeliverable as entered by customers and 35% is undeliverable is due to undeliverable addresses. The average company loses $254 per 1,000 pieces of mail returned.
"What happened to my code? My expressions all worked last night!" Sound familiar?
For many developers and DBAs, this is all too common. Sometimes development can change overnight. A new team member implemented a change, a contractor came in while you were out of town; the possibilities for error are endless.
I recently presented a webinar discussing how to use the Azure Machine Learning Studio to build a predictive model. In case you missed it, a recording of the webinar, entitled "Getting Started with Azure Machine Learning," is available here. The presentation includes step-by-step demos showing how to create an Azure Machine Learning experiment.
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