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.
enables near-real-time analytics and ML on transaction data.
consolidate data from multiple Aurora database
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.
Run search and analytics workloads without managing clusters.
It’s one of the features I expected - finally, it got announced.
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
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 Simspace Weaver - Run large-scale spatial simulations in the cloud
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
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.
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 Principal 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!