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Amazon Sagemaker Data Wrangler now supports S3 access points

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Amazon SageMaker Data Wrangler now supports S3 access points for previewing and importing data to SageMaker Data Wrangler and as a destination for data exported from SageMaker Data Wrangler. Preparing high quality data for ML is often complex and time consuming as it requires aggregating data across various sources and formats using different tools. With SageMaker Data Wrangler, you can explore and import data from a variety of popular sources, such as Amazon S3, Amazon Athena, Amazon Redshift, Snowflake, Databricks and 40+ SaaS data sources. Customers increasingly use Amazon S3 to store shared datasets, where data is aggregated and accessed by different applications, teams and individuals. S3 access points enable organizations to grant fine-grained access control at a granular level. Instead of modifying a single bucket policy, organizations can create multiple access points with individual policies tailored to specific use cases, reducing the risk of misconfiguration or unintended access to sensitive data. Starting today, SageMaker Data Wrangler is making it easier for customers to prepare data from shared datasets stored in S3 while enabling organizations to securely control data access in their organization. 

Amazon SageMaker Studio Lab supports SageMaker Distribution

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We are excited to announce that Amazon SageMaker Studio Lab now supports the SageMaker Distribution image. Studio Lab customers have often asked for an environment that comes pre-installed with popular libraries including PyTorch, TensorFlow, and Keras, and an easier way to migrate their Studio Lab environment to Amazon SageMaker Studio. SageMaker Distribution fulfills both of these needs.

AWS PrivateLink announces support for user defined IP on VPC endpoints

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You can now choose IP addresses for your AWS PrivateLink VPC endpoints. AWS PrivateLink is a fully-managed, private connectivity service that enables customers to share and access services including AWS services, third-party services, and internal enterprise services hosted on AWS in a secure and scalable manner while keeping network traffic private.

Amazon RDS for MariaDB now supports MariaDB 10.11 for up to 40% higher transaction throughput

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Amazon RDS for MariaDB now supports MariaDB major version 10.11, the latest long-term maintenance release from the MariaDB community. Amazon RDS for MariaDB 10.11 includes performance improvements that enable up to 40% higher transaction throughput than prior versions. You can deploy RDS for MariaDB 10.11 on RDS Optimized Read and Optimized Write enabled instance classes for additional performance gains. MariaDB 10.11 major version also includes improvements to authentication, information schema, system versioning, and the InnoDB storage engine made by the MariaDB community.

Amazon Aurora Global Database introduces Global Database Failover

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Amazon Aurora now supports Global Database Failover, a fully managed experience for performing a cross-Region database failover to respond to unplanned events such as a regional outage. With Global Database Failover, you can convert a secondary region into the new primary region in typically a minute and also maintain the multi-region Global Database configuration. To learn more about Global Database Failover, see this blog .

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