- Dragon: A Distributed Graph Query Engine — Facebook describes its internal graph query engine. [T]he layout of these indices on storage is optimized based on a deeper understanding of query patterns (e.g., many queries are about friends), as opposed to accepting random sharding, which is common in these systems. Wisely, the system is tailored to the use cases they have and the patterns they see in access.
- Almost Everyone Is Doing the API Economy Wrong (Techcrunch) — Redux: your API should help you make money when the API customer makes money, and you should set clear expectations for what’s acceptable and what’s not. But every developer should be forced to write 100 times: “if you build on a platform you don’t own, you’re building on a potential and probable future competitor.”
- Traditional Economics Failed, Here’s a Blueprint — runs through the shifts happening in our thinking about the world and ourselves (simple to complex, independent to interdependent, rational calculator to irrational approximators, etc) and concludes: True self-interest is mutual interest. The best way to improve your likelihood of surviving and thriving is to make sure those around you survive and thrive. See above API note.
- Blitzscaling (HBR) — as you move from village to city, functions are beginning to be differentiated; you’re really multithreading. I could write a thesis on the CAP theorem for business. And I have definitely worked for companies that have a “share nothing” approach to solving their threading issues.
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Data science: Where are we going? - DJ Patil, the U.S. government's first Chief Data Scientist, looks at the future of data science at Strata + Hadoop World 2015 in San Jose.
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