Stream Data to Apache Iceberg with Estuary
Learn about the Apache Iceberg table format, why it’s essential for organizing your data lake, and how to load data into Iceberg using Estuary. We’ll cover a brief intro to Iceberg before demoing the connector setup with Estuary, Amazon S3, and AWS Glue for real-time and batch data integration.
With Estuary, you can stream structured or unstructured data directly into Iceberg tables — whether your source is PostgreSQL, Kafka, Snowflake, MongoDB, or many others — making it easy to build a scalable, query-ready data lakehouse architecture.
Find more at Estuary’s:
- Website: https://estuary.dev/
- Docs: https://docs.estuary.dev/
- Introduction to Iceberg: https://estuary.dev/apache-iceberg-tutorial-guide/
- Iceberg connector documentation: https://docs.estuary.dev/reference/Connectors/materialization-connectors/amazon-s3-iceberg/
#ApacheIceberg #datalakehouse
Media resources used in this video are from Pexels and the YouTube Studio Audio Library.
0:00 Intro
1:00 What is Iceberg?
2:30 Beginning connector setup in Estuary
3:17 AWS resources
5:00 Additional config and catalogs
6:05 Wrapping up connector creation
6:36 Review and outro
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