Introducing Oak: an Open Source Scalable Key-Value Map for Big Data Analytics

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Introduces OakMap, a new open-source concurrent ordered key-value map designed for big data analytics. Highlights its off-heap memory allocation, two-level on-heap index, and advantages in memory scaling, query speed (scans and lookups), and update speed (data ingestion rate) compared to ConcurrentSkipListMap. Mentions its use in rebuilding Druid's Incremental Index.