Durable fundamentals
The ideas under every data and AI system, from bits to agents, in the order the book builds them.
Lessons
- 01Bits, bytes and encodingsPlanned
- 02Numbers on a machine, integers, floats and roundingPlanned
- 03Storage, disks, pages and fsyncPlanned
- 04The log, append-only files and recoveryPlanned
- 05Indexes, hash tables, B-trees and LSM treesPlanned
- 06Query engines, scans, joins and plansPlanned
- 07Columnar formats and compressionPlanned
- 08Pipelines, batches, streams and idempotencyPlanned
- 09Data modelling, keys, facts and dimensionsPlanned
- 10Embeddings, text as vectorsPlanned
- 11Retrieval, exact and approximate nearest neighboursPlanned
- 12Agents, tools, loops and evaluationPlanned
Lessons in this track publish weekly, alongside the videos. The outline above is the plan.