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Support for Apache Livy, Hue 4.0.1, and Presto 0.184 on Amazon EMR release 5.9.0

You can now use Apache Livy (0.4) and new versions of Hue (4.0.1), Presto (0.184), Flink (1.3.2) and Apache Pig (0.17) on Amazon EMR release 5.9.0. Apache Livy is an application that enables you to submit, interact with, and manage Apache Spark applications over a REST interface. Hue 4.0.1 includes a redesigned interface and new SQL editor, interactive Spark notebook, and an improved job browser UI. Also, Apache Spark on release 5.9.0 now uses SSL instead of 3DES for in-transit encryption for the block transfer service, giving performance enhancements when using Amazon EC2 instance types with AES-NI. Additionally, we have added several enhancements to Spark to improve resilience and performance during Auto Scaling.
Quelle: aws.amazon.com

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Announcing Accelerated Scale-Down of AWS Batch Managed Compute Environments

Amazon EC2 recently transitioned from hourly to per-second billing. Previously, as your jobs completed, AWS Batch would retain idle compute resources for the majority of the billing hour in order to avoid the cost associated with additional instance launches within the hour. With per-second billing, AWS customers are able to focus on their applications instead of maximizing usage to the hour. As a result, AWS Batch will now evaluate compute resources more frequently and immediately scale down any idle instances when there are no more runnable jobs in your job queues.
Quelle: aws.amazon.com

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Amazon EC2 instances now support Microsoft SQL Server 2017

Amazon EC2 now supports Microsoft SQL Server 2017, the most recent release of Microsoft SQL Server. With this release, your Microsoft SQL Server 2017 workloads can take advantage of the scale, performance, and elasticity of the AWS Cloud. You can deploy SQL Server 2017 Always-On Availability Groups across multiple AWS Availability Zones (“AZs”) for enhanced availability and data durability. When you deploy your SQL Server databases on AWS, they benefit from all the security capabilities from AWS such as Amazon VPC, data encryption, and integration with AWS Microsoft AD for role based access control, while also leveraging security enhancements provided in SQL Server 2017 such as Always-Encrypted, dynamic data masking, and row-level security. You can integrate your SQL Server deployment with other AWS services such as AWS CloudFormation, Amazon EC2 Systems Manager, and AWS CloudWatch to provide easy deployment, management, monitoring, and other administrative tasks. These capabilities help ensure your SQL Server deployments meet your performance, manageability, security, and availability requirements while benefitting from the scale and agility of the AWS Cloud. In addition, when you run SQL Server 2017 on Amazon EC2 instances, you can take advantage of all the latest features available in Microsoft SQL Server 2017 such as container support for DevOps scenarios, graph databases, automatic database tuning, as well as R and Python analytics.
Quelle: aws.amazon.com

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Amazon Kinesis Analytics can now discover data schemas from sample S3 objects

You can now configure your Amazon Kinesis Analytics applications to automatically discover the schema of an Amazon S3 object. This new feature allows you to infer the schema for your streaming application by specifying sample data stored in S3. Kinesis Analytics infers column names, data types, and position of the data elements in the sample. With this new feature, you can predefine your schema prior to sending records to your Kinesis Firehose or Kinesis Streams. This builds upon the current functionality which infers the schema based on a sample of records from your data stream. 
Quelle: aws.amazon.com

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AD Connector, part of AWS Directory Service, is now available in the EU (London) Region

AD Connector enables you to use your existing on-premises Microsoft Active Directory (AD) identities to access the AWS Management Console and compatible AWS applications, such as Amazon WorkSpaces, Amazon Connect, and Amazon Chime. With AD Connector, you can enable multi-factor authentication (MFA) for AWS applications users and use your existing Remote Authentication Dial-In User Service (RADIUS)–based infrastructure for an additional layer of security. You also can join Amazon EC2 instances to your on-premises AD domain and manage the instances using Group Policy objects.
Quelle: aws.amazon.com