Read and write S3 Iceberg table using AWS Glue Iceberg Rest Catalog from Open Source Apache Spark
In today’s data-driven world, organizations are constantly seeking efficient ways to process and analyze vast amounts of information across data lakes and warehouses. Enter Amazon SageMaker Lakehouse, which you can use to unify all your data across Amazon Simple Storage Service (Amazon S3) data lakes and Amazon Redshift data warehouses, helping you build powerful analytics…