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Dan Bornstein's Google I/O 2008 talk on the internals of Dalvik, the virtual machine that runs Android code. It covers the motivation for its design, the dex format and its register-based interpreter, plus tips for writing code that suits the platform.

Author JL Collins discusses his book The Simple Path to Wealth at Google, covering avoiding debt, simple index fund investing, and retirement accounts like 401(k)s and IRAs. It is an hour-long interview in plain language.

Elasticsearch engineer and Lucene committer Adrien Grand explains the design decisions inside a Lucene index and what problems it can and cannot solve. The talk goes into how Lucene stores data for fast search and analytics.

Uber Engineering's Joseph Gilley explains why Uber uses hexagons for geospatial indexing and introduces H3, its open source hierarchical grid system. He covers use cases and how distortion is handled.

Dan Robinson, then CTO of Heap, explains how Heap runs its product analytics backend on PostgreSQL and CitusDB. It covers conversion funnels, retention and cohort queries across tens of billions of events and 50 TB of data, plus Postgres and Kafka together and the indexing strategy.

Policy advisor Simon Anholt presents the Good Country Index, a measure of how much each nation contributes to the world beyond its own borders. In a funny TED talk he argues governments should think globally, and reveals which countries rank surprisingly.

Michael Green of Thiel Macro presents a thesis that the growth of passive investing distorts how markets price new money flows. He ties short-term market behavior to longer-term demographic cycles and its effects on valuations and volatility.

An AWS re:Invent 2019 session for advanced DynamoDB users on design patterns used by large customers, including Amazon retail. It covers GSI sharding, index overloading, graph processing, composite keys and transactional workflows.

Edward Kmett's 2013 talk at Prezi in Budapest on succinct data structures, which store data in close to the information-theoretic minimum space while supporting fast queries. It ties together the research and walks through his Haskell succinct library.

Rick Houlihan's AWS re:Invent 2018 deep dive on advanced DynamoDB design patterns. It covers index overloading, GSI sharding, composite keys, graph processing and transactions.

Martin Kleppmann argues that databases are global shared mutable state and proposes treating them as an ever-growing log of immutable facts. Derived data such as caches, indexes and views is then built by stream processors like Apache Samza. The talk draws on Kafka and LinkedIn's experience with commit logs.