This repository provides a Python library to build and test AWS Glue Custom Blueprints locally. It also provides sample blueprints addressing common use-cases in ETL.

• Crawling Amazon S3 locations: This blueprint crawls multiple Amazon S3 locations to add metadata tables to the Data Catalog.

• Importing Amazon S3 data into a DynamoDB table: This blueprint imports data from Amazon S3 into a DynamoDB table.

• Conversion: This blueprint converts input files in various standard file formats into Apache Parquet format, which is optimized for analytic workloads.

• Converting character encoding: This blueprint converts your non-UTF files into UTF encoded files.

• Compaction: This blueprint creates a job that compacts input files into larger chunks based on desired file size.

• Partitioning: This blueprint creates a partitioning job that places output files into partitions based on specific partition keys.

• Importing an AWS Glue table into a Lake Formation governed table: This blueprint imports a Glue Catalog table into a Lake Formation governed table.

• Creating table definitions from Glue Custom Connection: This blueprint accesses data stores using Glue Custom Connectors, read the records, and populate the table definitions on Glue Data Catalog based on the record schema.

See CONTRIBUTING for more information.

This project is licensed under the Apache-2.0 License.