AWS Database Blog
How Waves runs user queries and recommendations at scale with Amazon Neptune
This is a guest post by Pavel Vasilyev, Director of Solutions Architecture at ClearScale, an APN Premier Consulting Partner that provides a full range of cloud professional services. When executive management from Waves, a Y Combinator-backed mobile dating app, realized they were outgrowing their existing IT architecture on Google Cloud, they knew it was time […]
Read MoreGetting started with Amazon DocumentDB (with MongoDB compatibility); Part 3 – using Robo 3T
Amazon DocumentDB (with MongoDB compatibility) is a fast, scalable, highly available, and fully managed document database service that supports MongoDB workloads. You can use the same MongoDB 3.6 application code, drivers, and tools to run, manage, and scale workloads on Amazon DocumentDB without having to worry about managing the underlying infrastructure. As a document database, […]
Read MoreBest practices for exporting and importing data from Amazon Aurora MySQL to Amazon S3
You can build highly distributed applications using a multitude of purpose-built databases by decoupling complex applications into smaller pieces, which allows you to choose the right database for the right job. Amazon Aurora is the preferred choice for OLTP workloads. Aurora makes it easy to set up, operate, and scale a relational database in the […]
Read MoreScaling Amazon DocumentDB (with MongoDB compatibility), Part 1: Scaling reads
Amazon DocumentDB (with MongoDB compatibility) is a fast, scalable, highly available, fully managed document database service that supports MongoDB workloads. With Amazon DocumentDB, you can run the same application code and use the same drivers and tools you use with MongoDB. This post shows you how the modern, cloud-native database architecture of Amazon DocumentDB allows […]
Read MoreBuilding a customer 360 knowledge repository with Amazon Neptune and Amazon Redshift
Organizations build and deploy large-scale data platforms like data lakes, data warehouses, and lakehouses to capture and analyze a holistic view of their customer’s journey. The objective of such a data platform is to understand customer behavior patterns that influence satisfaction and drive more engagement. Applications today capture each point of contact with a customer, […]
Read MoreManaging inactive Amazon Aurora PostgreSQL users
Data is one of the most precious assets for any organization, and keeping data secure is always the top priority. One common security requirement for databases is to restrict user access—if a database user is compromised, it can cause significant damage to your data. You should follow the least privilege model for database users. This […]
Read MoreHow Gunosy built a comment feature in News Pass using Amazon Neptune
This guest post is a translation and adaption from How to implement and operate News Pass comment feature in GraphDB using Amazon Neptune, published in Japanese by Gunosy. Gunosy’s motto is to “Optimally deliver information to people around the world.” In their own words “Gunosy has developed and operated multiple media businesses, including the information […]
Read MoreManaged disaster recovery and managed reader farm with Amazon RDS for Oracle using Oracle Active Data Guard
Many AWS users are taking advantage of the managed database offerings in the Amazon Relational Database Service (Amazon RDS) portfolio to remove much of the undifferentiated heavy lifting from their day-to-day activities. With Amazon RDS for Oracle, users can significantly reduce the administrative overhead of managing and maintaining an Oracle database. Amazon RDS for Oracle […]
Read MoreFive workload characteristics to consider when right sizing Amazon ElastiCache Redis clusters
This post discusses the process to determine the right node size and cluster topology for your Amazon ElastiCache workloads, and the important factors to consider. This post assumes you have a good knowledge of Redis and its commands and have an understanding of Amazon ElastiCache for Redis and its features such as online cluster resizing, […]
Read MoreBuilding and querying the AWS COVID-19 knowledge graph
This blog post details how to recreate the AWS COVID-19 knowledge graph (CKG) using AWS CloudFormation and Amazon Neptune, and query the graph using Jupyter notebooks hosted on Amazon SageMaker in your AWS account. The CKG aids in the exploration and analysis of the COVID-19 Open Research Dataset (CORD-19), hosted in the AWS COVID-19 data […]
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