AWS Database Blog

Category: AWS Step Functions

Bulk update Amazon DynamoDB tables with AWS Step Functions

Developers want to perform bulk updates to modify items in their Amazon DynamoDB tables. Reasons for performing bulk updates can include: Adding or updating attributes – backfilling a Time to Live (TTL) value or populating an attribute to support a new access pattern or global secondary index (GSI). For example, enriching existing data with new […]

Create and run AWS DMS tasks using AWS Step Functions

AWS Database Migration Service (AWS DMS) is a managed service that helps you migrate databases to AWS easily and securely. It supports various database sources and targets, including Amazon Relational Database Service (Amazon RDS), Amazon Aurora, Amazon Redshift, Amazon Simple Storage Service (Amazon S3), and more. With AWS DMS, you can migrate your data to […]

Automate switchover of Oracle E-Business Suite on Amazon RDS Custom for Oracle

Oracle E-Business Suite is a business application suite that includes financial, supply chain, human resources, and customer relationship management modules. Due to the application’s critical nature, it’s important to architect Oracle E-Business Suite for high availability and develop the ability to switch over the application and database as quickly as possible in order to minimize […]

How Amazon Finance Technologies built an event-driven and scalable remittance service using Amazon DynamoDB

The Amazon Finance Technologies (FinTech) payment transmission team manages products for the Accounts Payable (AP) team, from invoices to the pay process. Their suite of services handles the disbursement process, from invoice generation to payment creation, to make sure that payment beneficiaries receive their payments. Amazon Business makes payments to a very diverse range of […]

Replace self-managed database scheduler batch jobs using AWS native solutions

Database administrators and developers traditionally schedule scripts to run against databases using the system cron on the host where the database is running or using database schedulers, resulting in a tight coupling with the batch scripts and the database. Many Oracle database applications use files stored in a shared file system volume that is mounted […]

Replace SQL Server Agent Job with AWS Step Functions

If you’re migrating from Microsoft SQL Server to Amazon Aurora PostgreSQL, you might have discovered that the SQL agent jobs cannot be easily moved. The job agent tools are not supported for Aurora PostgreSQL. You can overcome this limitation though, by using AWS Step Functions to replace a SQL agent job. In this blog post […]