Category: Advanced (300)

Amazon Relational Database Service (Amazon RDS) Custom for SQL Server is a managed database service for custom and packaged applications that require access to the underlying operating system (OS) and database (DB) environment. Amazon RDS Custom for SQL Server automates the setup, operation, and scaling of databases in the cloud while granting access to the […]

Knowledge graphs consolidate and integrate an organization’s information assets and make them more readily available to all members of the organization. There are many applications and use cases that are enabled by knowledge graphs. Graphs are a natural way to model and represent information about the world. This idea is not new, but has now […]

In this post, I discuss Amazon Relational Database Service (Amazon RDS) Multi-AZ DB cluster configurations for Amazon RDS for MySQL and Amazon RDS for PostgreSQL database instances. When you create a Multi-AZ DB cluster, Amazon RDS maintains a primary and two readable standby copies of your data. If there are problems with the primary copy, […]

As organizations adopt modern application architectures such as microservices, application teams tend to retrofit one-size-fits-all databases. The mortgage industry is going through unprecedented transformation due to changing generation technologies such as API adoption. In the mortgage industry, API-enabled software allows lenders, issuers, borrowers, and more to integrate different functionalities into their portal, meaning they bring […]

We’re excited to announce that AWS Database Migration Service (AWS DMS) now supports Amazon Relational Database Service (Amazon RDS) for Db2 as a target endpoint. This development simplifies the process of migrating self-managed Db2 workloads to Amazon RDS for Db2, a managed service designed to ease the setup, operation, and scaling of Db2 databases in […]

Migrating databases from Oracle to either Amazon Aurora PostgreSQL-Compatible Edition or Amazon Relational Database Service (Amazon RDS) for PostgreSQL presents a unique challenge when migrating JSON data. Oracle CLOB data type can contain both well-formed and invalid JSON, whereas the PostgreSQL JSON and JSONB data type requires JSON data to be correctly formatted according to […]

Organizations require systems and mechanisms in place to gather and analyze large amounts of data as it is created, in order to get insights and respond in real time. Stream processing data technologies enable organizations to ingest data as it is created, process it, and analyze it as soon as it is accessible. In this […]

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. […]

Amazon DynamoDB offers high scalability and performance for applications with varying workloads. While DynamoDB excels at efficiently distributing data across multiple partitions, it inherently follows a specific sorting order based on the schema selected. In this post, we show two example data models, one designed to store e-commerce order information and one to store game […]

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 […]