Near Real-Time Ingestion For Trino
Blog post from Starburst
Starburst Galaxy, in collaboration with Apache Flink and AWS Glue, has introduced a near real-time data ingestion solution designed to efficiently stream data into Iceberg tables on S3 data lakes, enabling flexible and scalable analytics. This system leverages Apache Flink, hosted by Amazon Kinesis Data Analytics, to consume data from Kafka sources and write it to AWS Glue tables in the Iceberg format, allowing users to perform near real-time queries via Trino, provided by Starburst Galaxy. The architecture ensures data integrity with Flink's Exactly Once guarantees and simplifies schema management by using the Iceberg table as a single source of truth. The solution offers operational benefits by supporting schema evolution and maintenance practices such as data compaction and snapshot expiration, which together enhance performance and compliance with data governance standards. This setup is complemented by Starburst Galaxy's managed services, which streamline the deployment and scaling of analytics operations, demonstrating a flexible approach to overcoming challenges in real-time data analytics.