Amazon SageMaker now supports the k-Nearest-Neighbor (kNN) and Object Detection algorithms to address additional identification, classification, and regression use cases in machine learning. This addition expands the list of built-in algorithms for SageMaker to 15.

Details: Amazon CloudFront announces four new Edge locations: Cape Town, South Africa; Denver, Colorado; Frankfurt, Germany; and Taipei, Taiwan. Cape Town is our second Edge location in South Africa, the first being Johannesburg, launched in June 2018. Customers delivering content in South Africa are already seeing up to 75% latency improvements on average. The addition of a new Edge location in Denver, Colorado doubles our capacity in Denver. The new Edge location in Frankfurt is the seventh in the city, while the new Edge location in Taipei is the third in the city. The addition of these locations continues to expand CloudFront’s global footprint and capacity, allowing us to deliver better performance and scale for our customers.

A full list of CloudFront’s global infrastructure can be seen on the CloudFront Details webpage .

You can now use Hue 4.2.0 and Apache Oozie 5.0.0 on Amazon EMR release 5.15.0. Hue 4.2.0 adds several new features and updates, including a SQL syntax checker, an improved search UX with the ability to search through tables, columns, and saved queries, and several other UX improvements. Oozie 5.0.0 features an improved DAG visualization of workflows, integration with YARN Application Master to submit and manage jobs, and other performance improvements. Additionally, you can now use the upgraded version of Apache Hive (2.3.3), Apache HBase (1.4.4), and Apache ZooKeeper (3.4.12). These releases contain various bug fixes and stability improvements.

You can create an Amazon EMR cluster with the release 5.15.0 by choosing the release label “emr-5.15.0” from the AWS Management Console, AWS CLI, or SDK. You can select Hue, Oozie, Hive, HBase, and ZooKeeper to install these applications when you launch your EMR cluster. Please visit the Amazon EMR documentation for more information about EMR release 5.15.0 , Hue 4.2.0 , Oozie 5.0.0 , Hive 2.3.3 , HBase 1.4.4 , and ZooKeeper 3.4.12 .

Amazon EMR

release
5.15.0 is now available in all supported regions for Amazon EMR .

 

You can now use Hue 4.2.0 and Apache Oozie 5.0.0 on Amazon EMR release 5.15.0. Hue 4.2.0 adds several new features and updates, including an SQL syntax checker, an improved search UX with the ability to search through tables, columns, and saved queries, and several other UX improvements. Oozie 5.0.0 features an improved DAG visualization of workflows, integration with YARN Application Master to submit and manage jobs, and other performance improvements. Additionally, you can now use the upgraded version of Apache Hive (2.3.3), Apache HBase (1.4.4), and Apache ZooKeeper (3.4.12). These releases contain various bug fixes and stability improvements.

You can create an Amazon EMR cluster with the release 5.15.0 by choosing the release label “emr-5.15.0” from the AWS Management Console, AWS CLI, or SDK. You can select Hue, Oozie, Hive, HBase, and ZooKeeper to install these applications when you launch your EMR cluster. Please visit the Amazon EMR documentation for more information about EMR release 5.15.0 , Hue 4.2.0 , Oozie 5.0.0 , Hive 2.3.3 , HBase 1.4.4 , and ZooKeeper 3.4.12 .

Amazon EMR release 5.15.0 is now available in all supported regions for Amazon EMR .

 

Today, AWS Migration Hub makes it even easier to manage multiple migrations in one central location with the addition of RiverMeadow Server Migration SaaS. RiverMeadow is designed and built specifically for enterprise AWS customer migrations. This migration tool doesn’t require an agent and it performs live workload migrations, without impacting the source production environment.

11 new AWS Public Datasets are now available in the following categories:

Life sciences:

• The Allen Brain Observatory – Visual Coding from the Allen Institute for Brain Science

Financial:

• Eurex and Xetra Trading Data from Deutsche Börse

Environmental:

• Cornell EAS Data Lake provided by the Department of Earth and Atmospheric Sciences (EAS) at Cornell
• ECMWF’s ERA5 Reanalysis Data provided by PlanetOS
• GEOS-Chem Input Data provided by Harvard University Atmospheric Chemistry Modeling Group
• NOAA Global Historical Climatology Network Daily provided through the NOAA Big Data Project
• NOAA National Water Model Short-Range Forecast provided through the NOAA Big Data Project
• NOAA National Water Model Reanalysis provided through the NOAA Big Data Project

Astronomical:

• Hubble Space Telescope Public Data provided by the Space Science Telescope Institute

Audio:

• Voices Obscured in Complex Enrivonmental Settings (VOiCES) from SRI International and Lab41

Geospatial

• USDA National Aerial Imagery Program provided by Esri

The AWS Public Dataset Program covers the cost of storage for publicly available high-value cloud-optimized datasets. We work with data providers who seek to:

• Democratize access to data by making it available for analysis on AWS.
• Develop new cloud-native techniques, formats, and tools that lower the cost of working with data.
• Encourage the development of communities that benefit from access to shared datasets.

Learn how to propose your dataset to the AWS Public Dataset Program .

Today we are announcing Provisioned Throughput for Amazon Elastic File System (Amazon EFS). 

Amazon Elastic Container Registry (ECR) now meets the criteria for PCI compliance in AMER, EMEA, and APAC. ECR PCI DSS compliance in China is pending approval. You can now use ECR to store, manage, and deploy Docker container images that are subject to Payment Card Industry Data Security Standard (PCI DSS) compliance. In addition to Amazon ECR, Amazon Elastic Container Service (ECS) also already meets the criteria for PCI compliance in AMER, EMEA, and APAC.

PCI DSS is a proprietary information security standard administered by the PCI Security Standards Council and applies to all entities that store, process or transmit cardholder data and/or sensitive authentication data including merchants, processors, acquirers, issuers, and service providers.

Amazon ECR is a fully-managed Docker container registry that makes it easy for developers to store, manage, and deploy Docker container images. Amazon ECR is integrated with Amazon Elastic Container Service (ECS), simplifying your development to production workflow. Amazon ECR eliminates the need to operate your own container repositories or worry about scaling the underlying infrastructure. Amazon ECR hosts your images in a secure, highly available, and scalable architecture allowing you to reliably deploy containers for your applications. For more information, visit the Amazon ECR product page.  

Visit the AWS global region table for a full list of AWS Regions where Amazon ECR is available.

To learn more about PCI DSS certification, visit the PCI DSS Compliance site .
 

You can now publish logs from your Amazon RDS for Oracle databases to Amazon CloudWatch Logs. Supported logs include alert log, trace log, audit log, and listener log.

Amazon SageMaker now supports resource tags for more efficient access control. Tags can be attached to resources such as notebook instances, training jobs, models, endpoint configurations, and endpoints within SageMaker.