Upcoming Events

This session explores how organizations can accelerate AI adoption and drive business value by leveraging Starburst’s data products on Amazon Web Services (AWS). Attendees will discover how unified and governed access to distributed data empowers business leaders to obtain faster, more reliable insights, enabling data-driven decision-making at scale. Through real-world examples, the session will demonstrate how enterprises leverage AI to transform their operations and gain a competitive edge. Additionally, the discussion will highlight the strategic importance of a modern data lakehouse architecture in supporting advanced analytics and machine learning initiatives, providing a robust foundation for future innovation.

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.

These live tables are automatically maintained for snapshot expiration and file size optimization. We will demonstrate how you can manually configure Starburst data maintenance tools for all other lakehouse tables as well. These tools address Iceberg, Delta Lake, Hudi, and Hive tables. Best practices for snapshot expiration and file compaction will be presented based on the volume and velocity of various data ingestion pipelines.