Data engineers and data scientists commonly rely on the BI and analytics tools of operations teams to make sense of large sets of information. Now, more than ever, transforming and extracting the data from your cloud data warehouse requires a cooperative effort to quickly and easily glean unique insights for your organization. Watch this webinar for an in-depth discussion on how to transition data models from legacy monolith to microservices. Learn how solutions in AWS Marketplace can help you achieve desired outcomes using data transformation, modern DevOps practices, and value stream management.
View this webinar to learn how to:
- Shift from a data center focus to a cloud mindset with AWS best practices and design principles
- Develop a continuous improvement model and eliminate waste in your value stream
- Generate test data from a selection of third-party data sets available on AWS Data Exchange
- Leverage partner solutions in AWS Marketplace such as Matillion ETL for Snowflake to transform your data
Who Should Attend?
IT Operations leaders and professionals, DevOps, data engineers, data scientists, and cloud application architects and engineers
Speakers
Sanjeev Sharma, Ambassador, DevOps Institute
Sanjeev Sharma is an internationally known DevOps and Cloud Transformation, and Data Modernization thought leader, technology executive, and author.
Chris Chapman, Partner Solutions Architect at AWS
Chris Chapman is a Partner Solutions Architect at AWS, covering AWS Marketplace, Service Catalog, and Control Tower.