Extend your Data Warehouse to your Data Lake | Amazon Web Services
Автор: Amazon Web Services
Загружено: 2022-01-31
Просмотров: 771
Описание:
In this video, you'll see how to extend your data warehouse to your data lake. Using a modern data architecture, you can move data from Amazon Redshift into an Amazon Simple Storage Service (Amazon S3) data lake, where it can be used to build visualizations with Amazon QuickSight and create machine learning (ML) models with Amazon SageMaker.
Learn more at:
https://go.aws/3Gq66lt
https://bit.ly/3L3eavY
https://go.aws/3Hvk2Mu
Subscribe:
More AWS videos - http://bit.ly/2O3zS75
More AWS events videos - http://bit.ly/316g9t4
ABOUT AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers — including the fastest-growing startups, largest enterprises, and leading government agencies — are using AWS to lower costs, become more agile, and innovate faster.
#AWS #AmazonWebServices #CloudComputing #ModernDataArchitecture #DataLake #Data Warehouse
Повторяем попытку...
Доступные форматы для скачивания:
Скачать видео
-
Информация по загрузке:
