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Interactive lessons on the things worth understanding deeply.
Short, hands-on explainers on data engineering, platforms, and leadership. Each lesson lets you poke at the moving parts - diagrams you can open, simulations you can run, and a quick check at the end - because some ideas only click when you can play with them.
New here? Start with Apache Iceberg, then Lakehouse table formats to build your data-engineering foundation - then branch into the Applied AI track (vector search, RAG, ClickHouse) or the Leadership track at whatever order suits you.
Apache Iceberg, explained interactively
Explore the metadata tree, simulate writes and time-travel, evolve schema and partitions, and test yourself.
Available Data engineeringClickHouse, explained interactively
Columnar storage, the MergeTree sparse index, parts and merges, table engines, and writing efficient queries.
Available Applied AIVector search, embeddings & RAG
Explore an embedding space, watch approximate nearest-neighbour search, and simulate a RAG pipeline end to end.
Available Platform strategyLakehouse table formats compared
Iceberg, Delta, Hudi, and Paimon - what actually differs, and how to choose for your workload.
Available LeadershipLeading data teams that compound
Operating models, prioritisation, and the habits that turn a busy data team into a high-leverage one.
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