Delta Lake is an open-source storage layer that brings reliability and performance to data lakes. In this session, we will explore the fundamentals of Delta Lake and demonstrate how to ingest Delta Lake tables into Apache Druid for sub-second query latency. Additionally, we’ll introduce a new upcoming feature in Apache Druid: scheduled batch supervisors, which can facilitate continuous data ingestion natively in Druid, ensuring that your Druid tables stay up-to-date with the latest data from Delta Lake or any input source.
Druid Summit 2024 – Panel: Real-Time Data Experiences
Analytics applications powered by Apache Druid are fun places to be. Take a seat as user experience leaders from Google, the Data Visualisation Society, and Imply bring their minds together, and answer your...
Watch nowDruid Summit 2024 – Panel: Lakehouse Analytics
Apache Iceberg and Delta Lake are coming into the big top, and Apache Druid is ready! Get ready to hear from Apache Druid PMC members and industry experts on just where Apache Druid fits, how it can be used,...
Watch nowDruid Summit 2024 – Panel: Operations and Optimization
Come along and meet people who have implemented and tuned Druid in situations small and large – very very large! Panelists will share some of their key tips and tricks, and be open to your questions, whether...
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