AWS Database Blog

Category: Amazon API Gateway

Build a simple CRUD operation and data stream on Amazon QLDB using AWS Lambda

In the financial services industry, efficient data lineage and audit capabilities are highly sought after. This is particularly true for database transaction processing that facilitates the movement of currency and management of sensitive customer account information. This is a challenge for customers because although all financial service providers generally have a means of moving money […]

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How Liberty Mutual built a highly scalable and cost-effective document management solution

With more than 45,000 employees in 29 countries, Liberty Mutual is the sixth largest global property and casualty insurer, and currently ranks 71st on the Fortune 100 list of largest corporations in the US. The expectations of customers continue to increase as the pace of change accelerates, the nature and magnitude of risk change, and […]

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Use Python SQLAlchemy ORM to interact with an Amazon Aurora database from a serverless application

As organizations work to modernize their traditional applications to an event-driven, serverless model, a question that comes up frequently is how the object-relational mapping (ORM) layer should be managed. Packaging it with AWS Lambda functions increases its size and adds a cognitive burden on the development team to track. In addition, many organizations have requirements […]

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Integrate Amazon Managed Blockchain identities with Amazon Cognito

When you authenticate with a web or mobile application, you typically do so with a username and password where you’re authenticated against a user database such as Amazon Cognito. You’re expected to secure your password and rotate it periodically or when it has been compromised. When you’re building a user-facing application that is running on […]

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Use Amazon ElastiCache for Redis as a near-real-time feature store

Customers often use Amazon ElastiCache for real-time transactional and analytical use cases. It provides high throughout and low latencies, while meeting a variety of business needs. Because it uses in-memory data structures, typical use cases include database and session caching, as well as leaderboards, gaming and financial trading platforms, social media, and sharing economy apps. […]

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