2005, Cost-Benefit, Metadata and Snapshot

Use Apache Iceberg in a data lake to support incremental data processing

AWS Big Data

MARCH 2, 2023

Apache Iceberg is an open table format for very large analytic datasets, which captures metadata information on the state of datasets as they evolve and change over time. Apache Iceberg is designed to support these features on cost-effective petabyte-scale data lakes on Amazon S3. The snapshot points to the manifest list.

Data Lake

Data Lake Data Processing Metadata Snapshot

Modernize a legacy real-time analytics application with Amazon Managed Service for Apache Flink

AWS Big Data

OCTOBER 11, 2023

To reap the benefits of cloud computing, like increased agility and just-in-time provisioning of resources, organizations are migrating their legacy analytics applications to AWS. Frequent materialized view refreshes on top of constantly changing base tables due to streamed data can lead to snapshot isolation errors.

Management

Management Metadata Analytics Dashboards

Data Leaders Brief

Use Apache Iceberg in a data lake to support incremental data processing

Modernize a legacy real-time analytics application with Amazon Managed Service for Apache Flink

Webinars

Stay Connected