awslabs / amazon-s3-find-and-forget
Amazon S3 Find and Forget is a solution to handle data erasure requests from data lakes stored on Amazon S3, for example, pursuant to the European General Data Protection Regulation (GDPR)
☆239Updated 2 months ago
Related projects ⓘ
Alternatives and complementary repositories for amazon-s3-find-and-forget
- An open source development framework to help you build data workflows and modern data architecture on AWS.☆256Updated this week
- ☆66Updated 5 months ago
- ☆158Updated 8 months ago
- An open-source framework that simplifies implementation of data solutions.☆113Updated this week
- Glue scripts for converting AWS Service Logs for use in Athena☆142Updated 9 months ago
- A Data Platform built for AWS, powered by Kubernetes.☆127Updated last year
- Data Lake as Code, featuring ChEMBL and OpenTargets☆166Updated last year
- Enterprise-grade, production-hardened, serverless data lake on AWS☆419Updated this week
- Amazon CloudWatch Embedded Metric Format Client Library☆208Updated last month
- A workshop demonstrating the capabilities of S3, Athena, Glue, Kinesis, and Quicksight.☆159Updated 4 years ago
- ☆74Updated last year
- This repository contains a number of CloudFormation templates which can be used independently or as Products with AWS Service Catalog inc…☆163Updated 2 years ago
- Tools to make effective use of DynamoDB easier.☆120Updated this week
- A UI that simplifies testing with Amazon Kinesis Streams and Firehose. Create and save record templates, and easily send data to Amazon K…☆200Updated last month
- ☆85Updated last year
- This is a framework where you define a Service Catalog portfolio, products and versions using YAML. For versions of your products you spe…☆136Updated last year
- The AWS Secrets Manager Python caching client enables in-process caching of secrets for Python applications.☆134Updated this week
- ☆18Updated 3 years ago
- Amazon Redshift Advanced Monitoring☆268Updated last year
- A prescriptive, serverless CI/CD platform leveraging native AWS services built using the AWS Cloud Development Kit (CDK).☆93Updated 9 months ago
- Reference Architectures for Datalakes on AWS☆79Updated 4 years ago
- A serverless architecture for orchestrating ETL jobs in arbitrarily-complex workflows using AWS Step Functions and AWS Lambda.☆331Updated 7 months ago
- ☆32Updated 2 years ago
- Recommended AWS CDK project structure for Python applications☆183Updated last year
- Design pattern for orchestrating an incremental data ingestion pipeline using AWS Step Functions from an on premise location into an Amaz…☆28Updated 5 years ago
- 📝 AWS Conferences One-Pagers [DEPRECATED]☆184Updated last year
- Making botocore.exceptions.ClientError easier to deal with☆150Updated last year
- Framework to enforce long term health of your AWS Data Lake by providing visibility into operational, data quality and business metrics.☆17Updated 3 years ago
- Generates an IAM policy for the CloudFormation service role that adheres to least privilege.☆110Updated last year