AWS Database Blog
Category: AWS Glue
Migrate from Azure Cosmos DB to Amazon DynamoDB using AWS Glue
To take advantage of the performance, security, and scale of Amazon DynamoDB, customers want to migrate their data from their existing NoSQL databases in a way that is cost-optimized and performant. In this post, we show you how to migrate data from Azure Cosmos DB to Amazon DynamoDB through an offline migration approach using AWS […]
Export and analyze Amazon DynamoDB data in an Amazon S3 data lake in Apache Parquet format
January 2023: Please refer to Accelerate Amazon DynamoDB data access in AWS Glue jobs using the new AWS Glue DynamoDB Export connector for more recent updates on using Amazon Glue to extract data from Amazon DynamoDB. Amazon DynamoDB is a key-value and document database that delivers single-digit millisecond performance at any scale. It’s a fully […]
How to extract, transform, and load data for analytic processing using AWS Glue (Part 2)
One of the biggest challenges enterprises face is setting up and maintaining a reliable extract, transform, and load (ETL) process to extract value and insight from data. Traditional ETL tools are complex to use, and can take months to implement, test, and deploy. After the ETL jobs are built, maintaining them can be painful […]