You might be eager to take advantage of machine learning (ML) technologies to bring predictive power to your business and analyze data on a deeper level. The issue is where to start. With Snowflake—the data warehouse built for the cloud—and Amazon Web Services (AWS), you can quickly start with the data you already have and take advantage of cost-effective, pay-as-you-go pricing.
Download this eBook to learn how to
- Use Snowflake to complement your data lake on AWS
- Connect with Amazon SageMaker to develop, test, and deploy machine models at scale
- Use Snowflake and AWS to quickly implement a cloud-based data lake and ML solution
Date January 31, 2018
Time 1:00 PST/ 4:00 PM EST
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