🎨 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
Rick Russell’s Post
More Relevant Posts
-
AWS Secrets Manager now integrates with Redshift serverless data warehouse, enabling seamless access and protection of sensitive credentials on Amazon Web Services (AWS) https://lnkd.in/dwnFvwxq #aws #awscloud
AWS Secrets Manager announces support for Amazon Redshift Serverless data warehouse
aws.amazon.com
-
Amazon DataZone now integrates with AWS Lake Formation hybrid access mode to simplify secure and governed data sharing in the AWS Glue Data Catalog. This helps customers use Amazon DataZone for data access control across on-premises and cloud data lakes. #aws #awscloud #cloud #amazondatazone #announcements #awsglue #awslakeformation
Amazon DataZone announces integration with AWS Lake Formation hybrid access mode for the AWS Glue Data Catalog
aws.amazon.com
-
AWS Solutions Architect | CCNP X2 (RnS&Security) | CCNA CyberOps | AWS X11 | AWS SME X2 | AWS User Group Women Colombia Co-founder | Women at Amazon LATAM Lead | Networking TFC
In this post, we present a solution that handles real-time data changes at scale by replicating data from DynamoDB to Amazon Aurora PostgreSQL-Compatible Edition using Amazon DynamoDB Streams and AWS Lambda. #AWS #AmazonWebServices #AWSBlogs #Cloud #CloudComputing #Serverless #DynamoDB #Lambda
Continuously replicate Amazon DynamoDB changes to Amazon Aurora PostgreSQL using AWS Lambda | Amazon Web Services
aws.amazon.com
-
You've got data? You've got options! Explore various data ingestion options available in #AmazonRedshift. 👉 https://go.aws/4e9Xi54 👨🏾💻 Read the blog to learn about the many options you have with Redshift to streamline your data pipeline & optimize performance when ingesting data from diverse sources. Whether your data resides in operational databases, data lakes, on-premises systems, Amazon Elastic Compute Cloud (Amazon EC2), or other AWS services, Amazon Redshift provides multiple ingestion methods to meet your specific needs.
Amazon Redshift data ingestion options | Amazon Web Services
aws.amazon.com
-
Amazon DataZone now allows customizing project environments using existing AWS IAM roles and services. This embeds DataZone into existing processes. #aws #awscloud #cloud #amazondatazone #analytics #announcements
Amazon DataZone announces custom blueprints for AWS services
aws.amazon.com
-
Amazon Web Services is making progress on its zero-ETL vision by integrating Aurora and Redshift. This allows combining Auroras transactional data with Redshifts analytics capabilities for holistic insights. #aws #awscloud #cloud #advanced300 #amazonaurora #amazonredshift #postgresqlcompatible #technicalhowto
Handle tables without primary keys while creating Amazon Aurora PostgreSQL zero-ETL integrations with Amazon Redshift
aws.amazon.com
-
Announcing a new technical guide for using Apache Iceberg on AWS. The guide covers foundational concepts to advanced optimizations for building transactional data lakes with Iceberg on AWS. #aws #awscloud #cloud #amazonathena #amazonemr #amazonredshift #awsglue #apacheiceberg
Understanding Apache Iceberg on AWS with the new technical guide
aws.amazon.com
-
Principal Serverless Specialist Solutions Architect at Amazon Web Services (AWS) | O'Reilly Author | International Speaker | LinkedIn Top Voice | Lifelong learner
In this post, we present a solution that handles real-time data changes at scale by replicating data from DynamoDB to Amazon Aurora PostgreSQL-Compatible Edition using Amazon DynamoDB Streams and AWS Lambda. #AWS #AmazonWebServices #AWSBlogs #Cloud #CloudComputing #Serverless #DynamoDB #Lambda
Continuously replicate Amazon DynamoDB changes to Amazon Aurora PostgreSQL using AWS Lambda | Amazon Web Services
aws.amazon.com
-
In this post, we present a solution that handles real-time data changes at scale by replicating data from DynamoDB to Amazon Aurora PostgreSQL-Compatible Edition using Amazon DynamoDB Streams and AWS Lambda. #AWS #AmazonWebServices #AWSBlogs #Cloud #CloudComputing #Serverless #DynamoDB #Lambda
Continuously replicate Amazon DynamoDB changes to Amazon Aurora PostgreSQL using AWS Lambda | Amazon Web Services
aws.amazon.com
-
Principal Partner Solutions Architect at Amazon Web Services We are looking for the brightest diverse builders to join AWS. Come join us!
In this post, we present a solution that handles real-time data changes at scale by replicating data from DynamoDB to Amazon Aurora PostgreSQL-Compatible Edition using Amazon DynamoDB Streams and AWS Lambda. #AWS #AmazonWebServices #AWSBlogs #Cloud #CloudComputing #Serverless #DynamoDB #Lambda
Continuously replicate Amazon DynamoDB changes to Amazon Aurora PostgreSQL using AWS Lambda | Amazon Web Services
aws.amazon.com