2005, Cost-Benefit, Data Analytics and Snapshot

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

AWS Big Data

MARCH 2, 2023

There is an increased need for data lakes to support database like features such as ACID transactions, record-level updates and deletes, time travel, and rollback. 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

Organizations with legacy, on-premises, near-real-time analytics solutions typically rely on self-managed relational databases as their data store for analytics workloads. Near-real-time streaming analytics captures the value of operational data and metrics to provide new insights to create business opportunities.

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

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