data science

Peter Norvig's 2007 Google talk on theorizing from data, covering what huge datasets can do for language understanding, translation, information extraction and inference. It argues that more data often beats cleverer models.

Mark Raasveldt of CWI presents DuckDB, an embeddable analytical database described as the SQLite for analytics, in a CMU Database Group talk. He explains why it was built, what it is for, and how it works.

Alexander Nix of Cambridge Analytica presents at the 2016 Concordia Summit on using big data, psychographic profiling and behavioral microtargeting in elections.

Bryan Cantrill presents Manta, an object store with in-situ compute that lets tools like grep, awk, and sed run map-reduce style over huge data. He frames it as bringing the Unix philosophy to big data.

James Powell's nearly two-hour PyData talk builds up Python's data model, decorators, generators and context managers, coding live in Vim. It aims to take intermediate programmers toward real Python expertise.

Mike Acton of Insomniac Games argues that a program's purpose is transforming data, and shows how common C++ approaches work against that in performance-critical game development. He covers cache behavior, data layout and the limits of compilers.

Juan Pedro Bolivar Puente explains immutable and persistent data structures in C++ and how they support value semantics. He presents the Immer library, rrb-trees, and a prototype text editor that opens a huge file instantly.

Lee Byron of Facebook explains how persistent immutable data structures work and how to use them in React apps with Immutable.js. He covers memoization benefits and avoiding coupling through shared mutable state.

Rich Hickey, creator of Clojure and designer of Datomic, gives a JaxConf 2012 talk that takes apart traditional database architecture. He presents a different way to think about databases and explains the reasoning behind Datomic's fact-based design.

John Rauser's Strata 2014 keynote argues that programmers can learn statistics quickly by simulating random processes and shuffling data. He explains p-values through resampling rather than formulas.

John Ousterhout's Netdev 0x16 keynote arguing that nearly every aspect of TCP is wrong for the datacenter, from connections and streams to reliable delivery and congestion control. He presents the case for a replacement protocol.

Raymond Hettinger explains Python's dataclasses module, showing the problem it solves and its key design decisions. He places it in a progression from tuples and dicts through named tuples and attrs.

A short clip of Neil deGrasse Tyson answering a question about why there are not more women in science. He describes the resistance he faced as a Black kid pursuing science and the systemic barriers many people encounter.

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.

Jon Gjengset's 2020 PhD dissertation presentation at MIT on partial state in dataflow-based materialized views, the idea behind the Noria database. The Q&A is cut out.

James Hamilton of AWS gives a Velocity 2010 keynote on datacenter infrastructure innovation, focused on power and cooling costs and a breakdown of where datacenter spending goes.

Joel Grus's JupyterCon talk explaining why he dislikes Jupyter notebooks. He covers hidden state, trouble with reproducibility and testing, and how notebooks frustrate teaching. He shows his preferred workflow and what Jupyter could change.

Simon Peyton Jones explains nested data parallelism and Data Parallel Haskell, an approach to exploiting multicore and distributed hardware while keeping a simple single-control-flow programming model.

David Kriesel's 36C3 talk, in an English translation, analyzes a year of scraped Deutsche Bahn data covering every stop of every long-distance train in Germany. It explores delays and how punctuality is actually measured.

David Kriesel's 36C3 talk, in German, analyzes a year of scraped data on every stop of every long-distance train in Germany. It shows how Deutsche Bahn delay statistics hide cancellations and delays.

Freeman Dyson's 2005 Boston University talk on heretical views about science and society. He questions prevailing dogmas, including his argument that climate and CO2 are a land management issue.

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.

Andrew Kelley, creator of Zig, presents practical data-oriented design techniques for shrinking memory footprint and making programs cache friendly. He ends with a case study of how these ideas sped up the Zig compiler.

In this TED talk, Hans Rosling uses animated statistics to debunk myths about the developing world, showing how health and income have improved across countries.

Sandy Pentland of MIT presents his book on social physics, which uses big-data studies of how people interact to explain how ideas spread. He describes findings on collective intelligence and social influence.

A CppCon 2018 talk arguing that OOP has failed to deliver on reuse and performance, and presenting data-oriented design for C++ with practical worked examples from real systems.

Zoz's DEF CON 23 talk explores practical, often explosive ways to destroy data and hard drives quickly. It tests methods such as thermite and other physical techniques for rapid destruction.

Michael Arntzenius's Strange Loop talk on Datafun, a functional query language that brings database-style querying into a general-purpose language. It discusses bridging database theory and programming languages.

Martin Kleppmann's Kafka Summit 2018 keynote asks whether Kafka can be considered a database. He covers event logs and related data-systems ideas.

Chandler Carruth's CppCon 2016 talk on designing hybrid data structures for performance. He covers cache locality, working-set size and allocation overhead, and why standard C++ containers fall short.

Steve Yegge's OSCON Data 2011 talk imagines what you could do with Google-scale storage and compute a decade later. He argues smart people should work on hard problems such as biology rather than cat pictures, and the talk ends with a moment many took as him quitting Google.

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.

SciPy 2015 talk by Nathaniel Smith and Stefan van der Walt on choosing a new default colormap for Matplotlib. It covers why Jet misleads, how perceptual color spaces work, and how viridis was designed.

Chandler Carruth's CppCon 2014 talk on writing fast C++, explaining why data structure choice and memory layout matter more than clever algorithms. It covers why standard containers like unordered_map perform poorly on modern CPUs.

A DEF CON 26 talk by investigative journalists and hackers on the fake science industry, with bogus conferences and predatory journals that give studies false credibility. It draws on a large investigation into the money behind them.

SQLite creator Richard Hipp gives a history of SQLite and explains where it shines as a database at the edge of the network with no DBA. He covers long-term support, testing and how it is used in products.

Sean Parent's CppCon 2015 talk on better use of standard containers and the goal of having no incidental data structures. It argues that proper containers can greatly simplify code.

Journalist Matthew Cole's Black Hat 2013 talk on the CIA's operational security failures in the 2003 Milan kidnapping. Phone and location metadata exposed the team and led to arrest warrants.

Clifford Stoll's energetic TED talk, a wandering mix of anecdotes, a science experiment and thoughts on curiosity, education and technology. He is the author of The Cuckoo's Egg.

Berkeley sleep scientist Matthew Walker presents the science of sleep and dreams and how sleep affects health and lifespan, based on his book Why We Sleep.