Amazon made a couple of announcements today (November 29, 2022) at AWS re: Invent in Las Vegas, focusing on Data, Analytics, Infrastructure & Security. We will see the announcements that excite me in this blog post.
Data & Analytics:
-
Zero ETL future
When you build a data platform - ETL takes primary effort. AWS committed to building the Zero ETL future and made two great announcements toward that.
- [Amazon Aurora zero-ETL integration with Amazon Redshift](https://aws.amazon.com/about-aws/whats-new/2022/11/amazon-aurora-zero-etl-integration-redshift/)
- enables near-real-time analytics and ML on transaction data.
- consolidate data from multiple Aurora database
- continuous updates
- serverless - no infrastructure to manage
- Amazon Redshift Integration for Apache Spark
- Now, you can run Spark queries on REshift data from EMR, Glue, and Sagemaker within seconds. No need to move the data
-
Amazon Datazone - ML based Data management service
- A data management service that helps orgs catalog, share and govern data.
- Integrates with Redshift, Athena and Quicksights and provides APIs to third party sources
- AWS Clean Room - Data sharing / masking services.
- I think AWS is running out the names for the product. ;-)
- Amazon QuickSight - ML powered
- It includes AI-enhanced automated data preparation, making it fast & easy to enable data for natural language questions.
-
Amazon OpenSearch Serverless
- Run search and analytics workloads without managing clusters.
- It’s one of the features I expected - finally, it got announced.
-
Amazon RDS Blue/Green Deployments
- A new feature for Amazon Aurora with MySQL compatibility, Amazon RDS for MySQL, and Amazon RDS for MariaDB that enables you to make database updates safer, simpler, and faster.
- With just a few steps, you can use Blue/Green Deployments to create a separate, synchronized, fully managed staging environment that mirrors the production environment. The staging environment clones your production environment’s primary database and in-Region read replicas. Blue/Green Deployments keep these two environments in sync using logical replication
Infrastructure
- Graviton: NEW 3rd generation processor. 25% faster & use 60% LESS energy.
- Strong momentum for Graviton
- 500x time increase: delivering highest performing #MachineLearning workloads. 70% lower cost per inference.
- AWS announces EC2 Inf2 instances
- AWS Simspace Weaver - Run large-scale spatial simulations in the cloud
Security
Amazon Security Lake: centralizes security data of your organization from AWS and third-party systems for quick risk response. Supports OCSF standard format. Amazon Security Lake is the first service/initiative to support OCSF open standard format - to normalize the structure for security findings across vendors and products.
AWS Guard Duty - Runtime vulnerability detection for containers., attempts to access host nodes, etc. This feature will be available soon and integrates with Amazon EKS
Industries
- Amazon Omics - Genome large-scale multimodal analysis that integrates with Amazon Healthlake or Sagemaker
- AWS Supply Chain: improves visibility into systems to lower costs & improve #CX - supply chain resiliency.
Summary
There were exciting announcements in today's keynote focused on Data, Analytics & Infrastructure mostly. I'm excited to about learning these new announcements and help enterprises on their successful journey - that innovates, analyzes, and scales their enterprise data analytics platform.
I'm Siva - working as Sr. Software Architect at Computer Enterprises Inc from Orlando. I'm an AWS Community builder. I will write a lot about Cloud, Containers, IoT, and Devops. If you are interested, please follow me @ksivamuthu on Twitter or check out my blogs at blog.sivamuthukumar.com!
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