Webinar: Implementing Managed Iceberg Pipelines
Do you have batch and/or streaming datasets that you would like to surface as Apache Iceberg tables in your lakehouse? Join Starburst experts for this 45 minute webinar where we will present & demonstrate Starburst data ingest tools. These tools ingest data from Apache Kafka as well as files persisted on S3 object storage. The ingest data are persisted in live tables that are automatically updated.
Starburst’s managed Iceberg pipelines provide performance and cost effectiveness. It also addresses pain points with ingestion which include the following.
- Removes the need for separate orchestration and stream processing engines by providing an end-to-end platform.
- Eliminates the need to determine near real-time results from multiple systems – just query your Iceberg tables.
- Solves data fragmentation and snapshot sprawl by automatically executing table maintenance jobs for compaction, snapshot expiration, and more.
- Addresses schema management directly and supports replaying ingested data when schema changes are encountered.
Watch Now
Do you have batch and/or streaming datasets that you would like to surface as Apache Iceberg tables in your lakehouse? Join Starburst experts for this 45 minute webinar where we will present & demonstrate Starburst data ingest tools. These tools ingest data from Apache Kafka as well as files persisted on S3 object storage. The ingest data are persisted in live tables that are automatically updated.
Starburst’s managed Iceberg pipelines provide performance and cost effectiveness. It also addresses pain points with ingestion which include the following.
- Removes the need for separate orchestration and stream processing engines by providing an end-to-end platform.
- Eliminates the need to determine near real-time results from multiple systems – just query your Iceberg tables.
- Solves data fragmentation and snapshot sprawl by automatically executing table maintenance jobs for compaction, snapshot expiration, and more.
- Addresses schema management directly and supports replaying ingested data when schema changes are encountered.
