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AWS IoT Now Supports Using your Own Certificates

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AWS IoT now offers APIs to register and use security certificates signed by your Certificate Authority (CA) as an alternative to using certificates that were generated by AWS IoT. This allows your connected devices with existing or new certificates signed by your signing certificate seamless access to AWS IoT.

To learn more about the service, visit the AWS IoT documentation .

AWS Schema Conversion Tool Now Supports Conversions between MySQL and PostgreSQL

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We are pleased to announce that the AWS Schema Conversion Tool now supports conversions between two popular open source engines: MySQL and PostgreSQL. Conversions can be run in either direction and using any MySQL compatible engine including Amazon’s next generation cloud database, Aurora. This release builds upon existing support for conversions from Oracle and SQL Server to PostgreSQL and MySQL. SCT now includes further improvements in conversion rules between all engines and a revised assessment report. 

Easily Create New Amazon Redshift Datasources in Amazon ML by Copying Existing Datasource Settings

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You now have the ability to quickly and easily create new Amazon Redshift datasources in Amazon Machine Learning (Amazon ML) by copying settings from an existing Amazon Redshift datasource. A new option on the Amazon ML console allows you to select an existing Redshift datasource to copy the Redshift cluster name, database name, IAM role, SQL query and staging data location, to automatically populate these fields in the Create Datasource wizard. You can modify the settings before the new datasource is created, for example, to change the SQL query, or to specify a different IAM role to access the cluster.

AWS IoT Now Supports Integration with Amazon Machine Learning and AWS CloudTrail

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You can now configure AWS IoT Rules to route device-generated data directly to Amazon Machine Learning, enabling you to create machine learning (ML) models without having to learn complex ML algorithms and technology. With Amazon Machine Learning integration, you will be able to generate billions of predictions daily, and serve those predictions in real-time and at high throughput. 

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