Machine learning requires data. Odds are you need data from multiple sources to feed your machine learning algorithms. How much effort do you put into data integration? Does it consume a significant amount of your data engineering efforts that you otherwise would invest in building or optimizing your models? This session discusses five key criteria for data integration. Use these as a practical guide to find your optimum data integration solution for your organization.