This initial stage contains three integral components: The process starts with a Data Lake that functions as a primary repository for raw, unprocessed data. Data Lakehouse platform leveraging Apache Iceberg and AWS The following diagram (figure 1) demonstrates how we can approach it on AWS.įigure 1. These AWS services, combined with Iceberg, support a Data Lakehouse architecture with the data stored on Amazon S3 Bucket and metadata on AWS Glue Data Catalog. Apache Iceberg on AWSĪpache Iceberg works with data frameworks like Apache Spark, Flink, Hive, Presto, and AWS services like Amazon Athena, EMR, and AWS Glue. You can integrate your existing data ecosystem with Iceberg.īut to fully unlock the potential of Apache Iceberg, we need to place it in a fully integrated environment. It leverages the catalog's metadata management capabilities, making it easier to discover and access Iceberg tables.
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