AWS Developers | Analytics in 15: Save Time! Try No-Code Data Movement and Transformation @awsdevelopers | Uploaded 1 year ago | Updated 1 hour ago
With the explosion of data volumes, data types, and data sources, do you find discovering, cataloging and integrating data at-scale to be complex, error-prone, and time-consuming? See how you can visually transform data with a no-code, drag-and-drop interface that simplifies highly scalable ETL job authoring and automatically generates ETL code, saving developer time and removing coding constraints.
***To learn more about the services featured in this talk, please visit: aws.amazon.com/glue
To download the slides visit: pages.awscloud.com/rs/112-TZM-766/images/2023_SN-0915-ABD_Slide-Deck.pdf
#AWS
With the explosion of data volumes, data types, and data sources, do you find discovering, cataloging and integrating data at-scale to be complex, error-prone, and time-consuming? See how you can visually transform data with a no-code, drag-and-drop interface that simplifies highly scalable ETL job authoring and automatically generates ETL code, saving developer time and removing coding constraints.
***To learn more about the services featured in this talk, please visit: aws.amazon.com/glue
To download the slides visit: pages.awscloud.com/rs/112-TZM-766/images/2023_SN-0915-ABD_Slide-Deck.pdf
#AWS