Broadcast Date: May 9, 2023
Level: 200
Data integration with SaaS applications can be difficult and create barriers to efficiency and data quality that, as a result, often hinder an organization’s ability to begin their data, analytics, and ML journey in the cloud. Manual data ingestion, data preparation, and application integration are time-consuming and expensive – see how Amazon AppFlow can be a valuable resource to help streamline this process.
Learning Objectives
- Use Amazon AppFlow to build data integration pipelines with various SaaS applications and AWS in minutes
- See why you don’t need to build, test, deploy and maintain custom code, and how you can extend your application to use the vast eco system of AWS Analytics and ML services with just a few clicks
- Walk away with prescriptive guidance on how to speed up innovation by leveraging AWS Low Code, Analytics and ML services
Who Should Attend?
Data Scientists, Data Engineers, Data Analysts
Speaker(s)
Kamen Sharlandjiev, Sr Analytics Specialist SA, Amazon Web Services
Learn More
To learn more about the services featured in this talk, please visit:
aws.amazon.com/appflow/
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