AWSPU Ep 12: Building Future-Proof Data Lakes with Apache Iceberg on AWS
カートのアイテムが多すぎます
カートに追加できませんでした。
ウィッシュリストに追加できませんでした。
ほしい物リストの削除に失敗しました。
ポッドキャストのフォローに失敗しました
ポッドキャストのフォロー解除に失敗しました
AWSPU Ep 12: Building Future-Proof Data Lakes with Apache Iceberg on AWS
-
ナレーター：
-
著者：
概要
In this episode, we discuss the growing adoption of Apache Iceberg as a modern data lake format,
exploring how it's becoming the preferred choice for customers migrating from on-premises to cloud
-native architectures. The conversation covers AWS's deep integrations with Iceberg through
services like Amazon S3, AWS Glue Data Catalog, and SageMaker Lake House, as well as how key
partners like Starburst and Snowflake are enhancing the ecosystem with powerful connectors that
enable federated querying, flexible catalog management, and seamless data interoperability. We
highlight how organizations can easily migrate existing Parquet and ORC data lakes to Iceberg
without rewriting underlying data files, and emphasize that this shift represents a move toward
future-proof data architectures focused on ease of use, consistent governance, and reduced
development time rather than just cost optimization.
Contact us:
- aws-partner-unplugged-podcast-hosts@amazon.com
- Antony: https://www.linkedin.com/in/antony-prasad-thevaraj-04398518/
Links:
- https://aws.amazon.com/blogs/storage/build-a-managed-apache-iceberg-data-lake-using-starburst-and-amazon-s3-tables/
- https://aws.amazon.com/blogs/big-data/use-apache-iceberg-in-your-data-lake-with-amazon-s3-aws-glue-and-snowflake/