ROADMAP
24 tracks / 695 lessons
TRACKS
[HIDDEN]
Legacy oversized source track retained for migration only. Prefer focused review tracks for storage engines, query execution, transactions, backend database operations, and PostgreSQL operations.
Not published
[HIDDEN]
End-to-end data system architecture, platform contracts, and data-intensive operating models.
Not published
[HIDDEN]
Index construction, retrieval models, hybrid search, and crawl-to-index system design.
Not published
[HIDDEN]
Learning to rank, experimentation, evaluation pipelines, and search quality governance.
Not published
[HIDDEN]
Approximation, large-scale analytics, graph mining, clustering, and recommender architectures.
Not published
[DRAFT]
Columnar storage, execution engines, warehouse architecture, vectorization, and the internals of large-scale analytical query systems.
Not published
[DRAFT]
Change capture, ingestion contracts, backfills, schema drift, and the operational trade-offs of moving data through modern pipelines.
Not published
[DRAFT]
Data models, storage trade-offs, batch versus streaming, analytical versus transactional systems, and the basic mental models for modern data stacks.
Not published
[DRAFT]
Draft track for columnar formats, table metadata layers, schema evolution, compaction, and lakehouse architecture.
Not published
[DRAFT]
Schemas, ownership, lineage graphs, discovery surfaces, and the metadata infrastructure that makes data platforms governable.
Not published
[DRAFT]
Streaming ingestion, stateful processors, watermarks, checkpoints, exactly-once claims, backpressure, replay, and the platform patterns behind low-latency data movement.
Not published
[DRAFT]
Entity linking, graph modeling, canonicalization, and the data structures used to connect knowledge across noisy sources.
Not published
[DRAFT]
Approximation, sketching, graph mining, clustering, and large-scale analytical pipelines without the recommendation stack mixed in.
Not published
[DRAFT]
Auction design, bidding signals, marketplace objectives, and the ranking trade-offs unique to monetized retrieval systems.
Not published
[DRAFT]
Intent parsing, reformulation, semantic matching, and the retrieval improvements that start from better representations of user needs.
Not published
[DRAFT]
Interleaving, A/B testing, bandits, feedback loops, and the online methods used to improve ranking systems safely.
Not published
[DRAFT]
Candidate generation, ranking stacks, feedback loops, experimentation, and product-serving architectures for personalization systems.
Not published
[DRAFT]
Indexing basics, ranking intuition, query-document matching, and the introductory mental models behind search and recommendation quality.
Not published
[DRAFT]
Draft track for embeddings, ANN indexes, hybrid retrieval, vector databases, and retrieval serving trade-offs.
Not published
[DRAFT]
In-memory system design through Redis as the concrete case study: event loops, data structures, persistence, replication, clustering, caching, queues, locks, and operations.
Not published
[DRAFT]
Key-value, document, wide-column, graph, and search-oriented data stores with partitioning, replication, consistency, compaction, indexing, and operations.
Not published
[DRAFT]
Production search serving: schemas, analyzers, shards, query execution, aggregations, relevance tuning, hybrid search, indexing pipelines, cluster operations, and incidents.
Not published
[DRAFT]
Operational database depth for backend engineers: connection pools, isolation, query planning, index health, sharding, replicas, failover, and split-brain prevention.
Not published
[DRAFT]
PostgreSQL-specific depth for production systems: MVCC, WAL, locks, planner evidence, indexes, vacuum, replication, pooling, migrations, security, and operational debugging.
Not published