Compaction in the Druid database has been evolving into use cases beyond improving query performance and reducing storage. This talk will first go over what is compaction, current use cases for compaction, a beginner’s guide on setting up compaction (and automatic compaction), and common pitfalls when setting up auto-compaction. The talk will then drive into short and long term plans for compaction in Druid. Future features include creating derived datasources / materialized views and automatically changing or maintaining different schemas for the same datasource based on the age of data.
Imply Lumi Observability Warehouse Demo
In this 30-minute session, you'll see a demo of Imply Lumi — the observability data layer built to help you store more, search faster, and reduce cost without changing your existing tools.
Watch nowLunch & Learn: Imply Lumi Observability Warehouse Demo
In this 30-minute session, you'll see a demo of Imply Lumi — the observability data layer built to help you store more, search faster, and reduce cost without changing your existing tools.
Watch nowImply Lumi: What’s New, What’s Next — and How to Unlock More Observability Value Today
Observability teams must retain more data, investigate faster, and control costs without disrupting existing tools. This live Imply Lumi update shows new ingestion, retention, search, Splunk interoperability,...
Watch now