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AWS Re:Invent 2022: the Top Announcements

From 28 November to 2 December 2022, the AWS Re:Invent event was held in Las Vegas.

Premaccess30 November 20223 min read
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From 28 November to 2 December 2022, the AWS Re:Invent event was held in Las Vegas. If you missed the main announcements, discover the essentials here. Enjoy the read!

Automated #data preparation for #Amazon #QuickSight Q is now available 🚀

Amazon QuickSight Q is a natural language query feature that allows business users to ask simple questions about their data #machinelearning #ML

Automated data preparation uses #machinelearning to infer semantic information about the data and adds it to the datasets as metadata on the columns (fields). This allows you to prepare the data more quickly in order to support natural language questions 😀

To find out more 👉 https://go.aws/3udtf74

Amazon Redshift Streaming Ingestion is now available 🚀

Thanks to this new feature, Amazon Redshift can natively ingest hundreds of megabytes of #data per second from Amazon Kinesis Data Streams and Amazon MSK into an Amazon Redshift materialised view and query it within seconds 👏

To find out more ▶️ https://go.aws/3XHrdcR

Preview release of Amazon OpenSearch Serverless

Run search and analytics workloads without managing clusters!

Discover this new service here ▶️ https://go.aws/3Ug2fON

Speed up your Lambda functions with Lambda SnapStart 🚀 Here is how to use it 👇

After enabling Lambda SnapStart for a particular Lambda function, publishing a new version of the function will trigger an optimisation process. The process starts your function and runs it throughout the initialisation phase. Then it takes an encrypted and immutable snapshot of the memory and disk state, and caches it for reuse. When the function is subsequently invoked, the state is retrieved from the cache in blocks as needed and used to populate the execution environment. This optimisation makes the invocation time faster 👍

Discover this new service here ▶️ https://go.aws/3OPWsyd

The Amazon RDS Blue/Green Deployments service is now available for Amazon #Aurora and Amazon #RDS  👏

Now, in just a few steps, you can use this service to create a separate, synchronised and fully managed staging environment that mirrors the production environment. 

The staging environment clones the primary database of your production environment and the read replicas in the region. Blue/green deployments keep these two environments synchronised using logical replication.

Discover this new service here 👉 https://go.aws/3Ff4DkL

With DMS Schema Conversion, you can now plan, assess, convert and migrate under a central DMS service. 

You can access the DMS Schema Conversion features in the AWS Management Console without downloading or running AWS SCT. 😄

AWS DMS Schema Conversion automatically converts your source database schemas and the majority of database code objects into a format compatible with the target database. This includes tables, views, stored procedures, functions, data types, synonyms, and so on, similar to AWS SCT. All objects that cannot be automatically converted are clearly marked as action items with prescriptive instructions on how to migrate manually to AWS.

Discover this new service here ▶️ https://go.aws/3AW8D70

#AWS #Backup now supports attaching an AWS #CloudFormation stack to your #data protection policies 👏

When you use CloudFormation as a resource, all the stateful components supported by AWS Backup are backed up at roughly the same time. 

The backup also includes the stateless resources of the stack, such as AWS Identity and Access Management (#IAM) roles and Amazon Virtual Private Cloud (Amazon #VPC) security groups . This gives you a single recovery point that you can use to recover the application stack or the individual resources you need.

Discover this new service here ▶️ https://go.aws/3Fefz21

To discover other announcements, go here:

https://aws.amazon.com/fr/blogs/aws/top-announcements-of-aws-reinvent-2022/

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PremaccessCloud experts · Franco-Swiss since 2007
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