Light and Adaptive Indexing for Immutable Databases

Explore innovative indexing strategies for large-scale distributed immutable databases in this conference talk from Strange Loop 2022. Delve into recent research on "learned indexes" using machine learning and adaptive indexes that evolve based on query patterns. Discover how to leverage the append-only and immutable nature of data to overcome engineering constraints in distributed settings. Learn from Håkan Råberg, Head of Research at JUXT, as he discusses topics such as Vision 86, composition storage models, and instance-optimized systems. Gain insights into the future of database indexing and how these techniques can enhance performance and efficiency in handling massive amounts of immutable data.

Introduction
What if Masters were free
Vision 86
Immutability
Composition Storage Models
The Problem
Learned Indexes
Adaptive Indexing
Instance optimized system
Engineering