Here is a quick summary about new releases at this year AWS re:invent 2022 happened from 28th November – 2nd December.
AWS DataZone
It’s a new data management service to catalog, discover, share and govern data. AWS is using Machine Learning to populate data catalog which makes job easy to generate and search metadata. Datazone is integrated with Amazon Redshift, Amazon Athena, Amazon QuickSight and provides APIs to 3rd party sources.
Reference Link - Governed Analytics – Amazon DataZone – Amazon Web Services
AWS Clean Rooms
New service helps customers create data clean rooms to collaborate with their business partners and generate new insights while protecting underlying raw data.
AWS Clean Rooms will be available in early 2023 in US East (Ohio), US East (N. Virginia), US West (Oregon), Asia Pacific (Seoul), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Europe (Frankfurt), Europe (Ireland), Europe (London), and Europe (Stockholm).
Reference Link - AWS-Announces-AWS-Clean-Rooms (aboutamazon.com)
AWS Redshift
There are couple of announcements for Redshift as mentioned below –
Redshift Auto-Copy from S3 – Now we can automate data ingestion from S3 into Redshift by setting up copy jobs, user-defined data ingestion rules to track S3 locations for new files and executing configured copy statements for each detected file.
Reference Link - Amazon Redshift now supports auto-copy from Amazon S3
Support for Multi-AZ – Now Redshift allows multi-AZ deployment in case of failure of Availability Zone (AZ). It helps in maximizing data warehouse performance by distributing workload across multiple AZs automatically.
Reference Link - AWS-Announces-Five-New-Database-and-Analytics-Capabilities (aboutamazon.com)
Real-time streaming ingestion – Now Amazon Redshift support real-time ingestion from MSK and KDS. It helps customers to achieve low latency during ingestion of MBs of streaming data into Redshift.
Reference Link - Amazon Redshift announces general availability of real-time streaming ingestion for Amazon KDS and Amazon MSK
Integration with RDS Aurora – Now with Aurora Zero ETL integration with Redshift makes it easier to petabyte-scale analytics on transactional data in near real time in Aurora.
Reference Link - AWS announces Amazon Aurora zero-ETL integration with Amazon Redshift
Redshift support dynamic data masking (Preview) – With dynamic data masking, AWS Redshift extends additional security to protect sensitive data in your data warehouse. Customer can control access to data using SQL based masking policies.
Reference Link - Amazon Redshift announces support for Dynamic Data Masking (Preview)
Redshift support in AWS Backup – AWS Backup allows you to define a backup policy and manage data protection for Redshift clusters
Reference Link - New – Amazon Redshift Support in AWS Backup | AWS News Blog
Amazon Security Lake (Preview)
It automatically centralizes security data from cloud, on-premises and custom sources into a purpose-built data stored in your account. Security lake can use to analyze data across your environment to improve protection of your workload, data and applications.
Reference Link - Security Data Management – Amazon Security Lake (Preview) – Amazon Web Services
Amazon OpenSearch Serverless (Preview) — It makes easy for customer to Run, Search and Analytics Workloads without Managing Clusters. It helps in improving query responses for unpredictable workloads, automatically scales underlying resources for fast data ingestions, without any need to configure clusters.
Reference Link - Preview: Amazon OpenSearch Serverless – Run Search and Analytics Workloads without Managing Clusters | AWS News Blog
Announcing Amazon OpenSearch Serverless (Preview)
New Amazon EC2 Instance Types In the Works — C7gn, R7iz, and Hpc7g
Reference Link - New Amazon EC2 Instance Types In the Works – C7gn, R7iz, and Hpc7g | AWS News Blog
AWS SimSpace Weaver– A new compute service to build dynamic, large-scale spatial simulations on AWS Managed infrastructure.
Reference Link - New AWS SimSpace Weaver–Run Large-Scale Spatial Simulations in the Cloud | AWS News Blog (amazon.com)
Simulation Infrastructure Management – AWS SimSpace Weaver – Amazon Web Services
Amazon Connect — New ML-Powered Capabilities for Forecasting, Capacity Planning, Scheduling, and Agent Empowerment
Reference Link - Amazon Connect – New ML-Powered Capabilities for Forecasting, Capacity Planning, Scheduling, and Agent Empowerment | AWS News Blog
Amazon Omics — A Purpose-Built Service to Store, Query, and Analyze Genomic and Biological Data at Scale
Reference Link - Genomic Data Analysis – Amazon Omics – Amazon Web Services
Introducing Amazon Omics – A Purpose-Built Service to Store, Query, and Analyze Genomic and Biological Data at Scale | AWS News Blog
Amazon EventBridge Pipes – It provides a simpler, consistent, and cost-effective way to create point-to-point integrations between event producers and consumers. EventBridge Pipes makes it easy to connect your applications with data from sources including Amazon SQS, Amazon Kinesis, Amazon DynamoDB, Amazon Managed Streaming Kafka, self-managed Kafka, and Amazon MQ. EventBridge Pipes supports the same target services as event buses, such as Amazon SQS, AWS Step Functions, Amazon Kinesis Data Streams, Amazon Kinesis Data Firehose, Amazon SNS, Amazon ECS, and event buses themselves.
Reference Link - Amazon EventBridge Pipes is now generally available
Amazon CodeCatalyst (Preview)
Amazon CodeCatalyst is a unified software development service that makes it faster to build and deliver software on AWS. CodeCatalyst provides software development teams with an integrated project experience that brings together the tools needed to plan, code, build, test, and deploy applications on AWS.
Reference Link - Announcing Amazon CodeCatalyst (Preview)
Unified Development Service – Amazon CodeCatalyst – Amazon Web Services
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