AWS Marketplace

Category: Amazon RDS

Liquibase removes database bottlenecks for faster, safer database releases

Liquibase removes database bottlenecks for faster, safer database releases

Application code changes often depend on database schema changes. Developers rely on database administrators (DBAs) to perform database code deployments. When the number of databases and releases is small, this solution works well. As organizations move to the cloud, the number of different databases increases, both in type and usage. Along with the increase in […]

Read More
Five-minute data connection and transformation from AWS to anywhere using Nexla

Five-minute data connection and transformation from AWS to anywhere using Nexla

As data becomes ubiquitous and data environments grow more complex, my customers ask for scalable solutions for managing their data flows. Accessing data from different vendors and data sources can be complicated, and transformations and checkpoints require the expertise of data engineers. Custom in-house solutions present a cost in both development and management time. Businesses […]

Read More
couchbase well architected control tower

Automate multi account data access in AWS using Couchbase and AWS Control Tower

Having a multi account strategy is a best practice for achieving higher isolation of resources in AWS. It helps you meet regulatory and compliance needs, track operational costs, and add an extra layer of security. AWS Control Tower uses AWS best practices to establish a well-architected, multi-account baseline across your AWS accounts. For more information […]

Read More
Music Bucket diagram 2

Using machine learning to stay connected

This post describes winning solutions from the AWS Marketplace Machine Learning Challenge hackathon. Other winners created solutions using machine learning to automate tasks and increase personalization and to support healthcare during a pandemic. The AWS Marketplace Developer Challenge: ML-Powered Solutions hackathon was hosted by the AWS Marketplace Machine Learning (ML) team earlier this year. A […]

Read More