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s3tables-java-main		s3tables-java-main
README.md		README.md
athena.md		athena.md
daft.md		daft.md
duckdb.md		duckdb.md
flink.md		flink.md
glue-data-catalog.md		glue-data-catalog.md
lambda-pyiceberg.md		lambda-pyiceberg.md
prerequisites.md		prerequisites.md
redshift.md		redshift.md
s3-tables.md		s3-tables.md
spark.md		spark.md
trino-emr.md		trino-emr.md

README.md

Chapter 3 - Working with Apache Iceberg Tables in AWS

This chapter demonstrates how to create, manage, and query Apache Iceberg tables within the AWS ecosystem using various AWS services and open source libraries including DuckDB, Daft, and Java API libraries.

AWS Services

AWS Glue Data Catalog - Catalog configuration and management
Amazon Athena - Querying Iceberg tables with Athena
Amazon S3 Tables - Using managed Iceberg tables
Amazon Redshift - Redshift integration patterns
AWS Lambda with PyIceberg - Serverless Iceberg operations

Processing Engines

Apache Spark - Spark integration and examples
Apache Flink - Flink integration and examples
Trino on EMR - Distributed queries with Trino

Open Source Libraries

DuckDB Integration - Local analytics with DuckDB
Daft Integration - Distributed DataFrames with Daft
S3 Tables Java Iceberg Implementation - Complete Java Iceberg API example for S3 Tables
For PyIceberg see AWS Lambda with PyIceberg