AWS Data Lab FAQs

Q: What is AWS Data Lab?

A: AWS Data Lab is a four-day intensive engagement between a team of customer builders and AWS technical resources to create tangible deliverables that accelerate data and analytics modernization initiatives. During the lab, Data Lab Solutions Architects and Database and Analytics service experts support the customer by offering prescriptive architectural guidance, sharing best practices, and removing technical roadblocks. At the end of the lab, the customer team leaves with a well-architected prototype, a path to production, greater knowledge of AWS Databases, Analytics, and Machine Learning services, and strengthened relationships with AWS technical service experts.

Q: How long is the AWS Data Lab engagement?

A: The core hands-on workshop is four days. There are some preparatory and follow-up meetings in the weeks before and after the workshop.

Q: Who does the building in an AWS Data Lab?

A: Customers build solutions in their own AWS accounts with the guidance of AWS Data Lab Solutions Architects and Database and Analytics service experts. A customer team of 4-8 hands-on builders is recommended.

Q: Where can I attend an AWS Data Lab?

A: While Data Labs are typically conducted in-person in one of the four cities listed below, in response to COVID-19, all Data Labs are now conducted online. Customers from every geography are welcome to work with the AWS Data Lab.
  • Seattle, WA
  • New York, NY
  • Herndon, VA
  • London, England

Q: Is there a deadline to apply for an AWS Data Lab?

A: No. AWS Data Lab is an ongoing program. Nominations are always welcome.

Q: How does a customer request an AWS Data Lab?

A: Reach out to your AWS Account Manager or Solutions Architect for more information. If you do not have an AWS account team, please contact Sales

Q: What AWS services are covered in an AWS Data Lab?

A: AWS Data Lab spans all AWS Database, Analytics, and Machine Learning services. Common use cases involve a combination of Amazon Aurora, Amazon RDS, Amazon DynamoDB, Amazon DocumentDB, Amazon QLDB, Amazon Neptune, Amazon QuickSight, Amazon Redshift, Amazon ElastiCache, Amazon Elasticsearch Service, Amazon EMR, Amazon Athena, AWS Glue, AWS Database Migration Service, AWS Lake Formation, Amazon SageMaker, Amazon Forecast, Amazon Comprehend and Amazon Comprehend Medical, Amazon Textract, Amazon Transcribe, and Amazon Rekognition.

Learn more about AWS Data Lab
Learn more about AWS Data Lab

Read about projects that customers have built in the AWS Data Lab

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Ready to get started?
Ready to get started?

Talk to your AWS Account Manager or Solutions Architect or contact Sales below 

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