AWS Database Blog

Category: AWS Glue

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 […]

The following diagram illustrates this architecture.

Cross-account replication with Amazon DynamoDB

Update: For loading data into new DynamoDB tables, use the Import from S3 feature (announced on August 2022). Hundreds of thousands of customers use Amazon DynamoDB for mission-critical workloads. In some situations, you may want to migrate your DynamoDB tables into a different AWS account, for example, in the eventuality of a company being acquired […]

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 […]