Logicata’s Post

🎨 Learn how Amazon DataZone uses popular AWS services you may already have in your environment, including Amazon Redshift, Amazon Athena, AWS Glue & AWS Lake Formation, as well as on-premises & third-party sources. 📄 https://go.aws/3US1tuU

Now Amazon Redshift customers can easily perform trend analysis of repeating queries over a period of time or compare performance between different periods by leveraging query hash. #amazonredshift #aws #monitoring https://lnkd.in/gmARaYVa

Customers can now easily use AWS Secrets Manager with Amazon Redshift Serverless #aws # amazonredshift

Do you wonder how AWS S3 evolved to serve exabytes of data world wide? here's an interesting read Amazon Web Services (AWS) #awss3 #scalability #datastorage #objectstorage #awscloud

🚀 Unlock Secure Data Pipelines with AWS Glue and Amazon RDS 🔒 In my latest article, I walk through how to securely connect Amazon Glue to Amazon RDS within a VPC, ensuring your ETL processes are both efficient and secure. From CloudFormation to IAM roles and security groups, I cover all the essential steps! 🔐 🔗 Check out the full guide here: https://lnkd.in/dTjCuKjM 📌 GitHub: https://lnkd.in/d6beFAyE #AWSCommunityBuilder #AWS #DataSecurity #CloudComputing #Glue #RDS #ETL #VPC #CloudArchitecture #CloudFormation

AWS Glue Data Catalog views allow customers to create views that can be queried from multiple engines without requiring consumers to have access to the tables referenced in the view. Administrators can use AWS Glue Data Catalog views to represent data restrictions and control what underlying data users can access using the rich SQL dialects provided by Amazon Redshift and Amazon Athena. Access to Glue Data Catalog views is managed with AWS Lake Formation permissions such as named resource grants, data filters, and lake formation tags. To enable easy auditing, all requests are logged in AWS Cloud Trail. Amazon Web Services (AWS) #Glue #Redshift #Athena #AWSLakeFormation https://lnkd.in/d-mpZmad

In case you missed it.... Apache Iceberg in AWS. 📑 "Amazon S3 Tables deliver the first cloud object store with built-in Apache Iceberg support, and the easiest way to store tabular data at scale. S3 Tables are specifically optimized for analytics workloads, resulting in up to 3x faster query throughput and up to 10x higher transactions per second compared to self-managed tables" https://lnkd.in/e7eXhEvz

❗ New ❗ AWS Secrets Manager just made it easier for Amazon Redshift Serverless customers to manage secrets! You can now create and rotate user credentials for both your Redshift Serverless and provisioned cluster directly in the AWS Secrets Manager. This includes database credentials and API keys throughout their lifecycle. Check out the link below for more information on this exciting update! https://lnkd.in/g447Es2X

Amazon Redshift Serverless now supports upto 1024 RPU’s.

The feedback we are getting about Amazon Redshift Serverless has been very positive so far. One of the constant asks was to expand the compute capacity of Redshift Serverless to support even larger workloads. Today we are increasing the compute capacity for Redshift Serverless to up to 1,024 RPUs. The 1,024 RPU Redshift Serverless provides excellent performance. Excited seeing the use cases this higher capacity will enable. #amazon #redshift #serverless #1024rpu