databases

Managing large amounts of dynamic data can be a headache, especially when it needs to be dynamically updated. AWS Data Pipeline simplifies the processing.

Amazon DynamoDB allows for huge non-relational databases to work with massive amounts of concurrent data to be processed from the cloud.

Querying large datasets can normally be a complex task, but AWS Athena simplifies the process to make it as easy and painless as possible.

AWS can already handle big relational databases, but Aurora takes things to the next level with enterprise-grade database management and security.

If you're looking to deploy and service applications, then AWS Elastic Beanstalk could be the feature you need.

AWS fires back over 'strip mines' claim.

Data lakes are the latest buzzword in cloud computing and big data, but what does it mean and how is it different to a data warehouse. Here we explain.

Continuing with our series explaining features of the AWS cloud services, here John Brandon covers the use of relational databases through Amazon RDS.

Having data in the cloud is one thing, being able to sort it into useful packets is another. Luckily, for Amazon Web Services, this is exactly what their Glue application does.