Category: Amazon Aurora

This post was co-written with Rajesh Saluja, Principal Engineer at Intuit. Intuit is the global financial technology environment that powers prosperity for 100 million consumer and small business customers with TurboTax, Credit Karma, QuickBooks, and Mailchimp. Intuit has built on AWS since 2013 and has taken an “all-in” approach in its move to the cloud. […]

This is a guest blog post by Oliver Jägle, Software Architect at DB Curbside Management, in partnership with AWS Senior Solutions Architect Ben Freiberg. Have you ever rented a scooter or a bicycle instead of walking or taking a bus? You’re not alone. More and more people around the globe have adopted this sort of […]

In this post, we demonstrate how to build a mechanism to automate the detection of sensitive data, in particular personally identifiable information (PII), in your relational database. PII is information connected to an individual and can be used to identify them. Handling PII data in a relational database, such as Amazon Aurora, requires planning and […]

The typical migration process for an Oracle database to Amazon Aurora PostgreSQL-Compatible Edition or Amazon Relational Database Service (Amazon RDS) for PostgreSQL requires both automated and manual procedures. The AWS Schema Conversion Tool (AWS SCT) can handle the automated duties of schema conversion. For specific database objects that can’t be automatically migrated, the manual duties […]

This is the first post of a two-part series. In this post, we discuss how to migrate SQL Server indexed views to materialized views in Amazon Aurora PostgreSQL-Compatible Edition or Amazon Relational Database Service (Amazon RDS) for PostgreSQL. The second post in this series will walk you through the migration of SQL Server indexed views […]

Customers use semi-structured or unstructured data storage for various business use cases, which is schema-less and flexible in nature. One such type of semi-structured data is JavaScript Object Notation (JSON). JSON stores data in the form of KEY, VALUE, LIST, and ARRAY formats. Oracle Database stores JSON object data in CLOB data type columns. PostgreSQL […]

Traditionally, applications that communicate with relational databases use drivers that provide a persistent connection between the application and the database server. With the advent of serverless applications, including those created using AWS Lambda, persistent connections from the application are no longer practical because serverless applications are, by nature, stateless. What’s more, traditional database drivers often […]

Over the past 15 years, cloud-managed databases have evolved to allow you to take advantage of the cloud’s agility, scalability, and flexibility in architecture. Open source databases have accelerated this transformation as an essential part of a cost-effective, modern data strategy. Amazon’s journey with managed open source databases started in 2009 with the launch of […]

Customers often ask how they can improve visibility and monitorability of workload performance, as well as scheduled and unscheduled events, on Amazon Relational Database Service (Amazon RDS) and Amazon Aurora databases. This post provides insight into how to proactively enable and set the instrumentation so all details are captured and available for analysis. In my […]

In this post, we show how you can encrypt an Amazon Aurora MySQL-Compatible Edition database from an existing unencrypted cluster using AWS Database Migration Service (AWS DMS) with minimal downtime. Amazon Aurora encrypted DB clusters provide an additional layer of data protection by securing your data from unauthorized access to the underlying storage. You can […]