Thursday, 16 August 2018

With the new Quick Start you can now deploy Amazon SageMaker and Data Lake on AWS Cloud for Predictive Data Science

The new Quick Start builds a data lake environment for deploying, building and training machine learning models with the Amazon SageMaker on the AWS Cloud. Amazon SageMaker allows you to build, train and deploy machine learning modes at any scale by eliminating the complexity. It removes all the barriers that make the process of training, building and deploying machine learning more slow and complex. It takes only 10 to 15 minutes to deploy and use AWS Services such as Amazon S3, Amazon Kinesis Data Firehose, Amazon Kinesis Data Streams and Amazon API Gateway. With the new Quick Start, you don’t have to configure the complex ML hardware clusters instead it just enables the end to end data science. 

No comments:

Post a Comment

File Gateway Gives Assistance To Amazon S3 Object Lock

AWS Storage Gateway offers assistance for Amazon S3 Object Lock to File Gateway, allowing write-once-read-many (WORM) file-based syst...