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Real-time Iceberg ingestion with AWS DMS
- Real-time Iceberg ingestion with AWS DMS enables low-latency access to fresh data with reduced complexity and improved efficiency.
- AWS DMS simplifies the migration of various data stores, enabling migrations into the AWS Cloud or between cloud and on-premises setups.
- Iceberg, an open table format, facilitates large-scale analytics on data lakes with ACID support, schema evolution, and time travel.
- Etleap customers benefit from Iceberg by achieving low latency, operational consistency, and simplifying data replication across multiple data warehouses.
- Exactly-once processing in low-latency pipelines is ensured using Flink's two-phase commit protocol, maintaining data integrity and fault tolerance.
- Iceberg table maintenance includes tasks like data file compaction and snapshot expiration to ensure high query performance and storage efficiency.
- Etleap integrates Iceberg tables with various query engines like AWS Athena, Amazon Redshift, Snowflake, making data querying seamless across platforms.
- Building reliable, low-latency data pipelines with Iceberg utilizing AWS tools and Iceberg's features supports real-time operational requirements and data lake modernization.
- The architecture demonstrated in the post enables streaming changes from operational databases to Iceberg with end-to-end latencies of under 5 seconds.
- Caius Brindescu, a Principal Engineer at Etleap, highlights the benefits of Iceberg ingestion and his expertise in Java backend development and big data technologies.
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