What changes when we go offline-first?
Martin Kleppmann shows how recent computer science research is helping develop the abstractions and APIs for the next generation of applications.
Martin Kleppmann
Martin Kleppmann is a researcher in distributed systems at the University of Cambridge. Previously, he cofounded and sold two startups and worked on large-scale data infrastructure at internet companies including LinkedIn. Martin is the author of Designing Data-Intensive Applications from O’Reilly.
Martin Kleppmann by Martin Kleppmann
Posts by Martin Kleppmann
Drawing a map of distributed data systems
How we created an illustrated guide to help you find your way through the data landscape.
Making Sense of Stream Processing
Stream processing is finally coming of age. This report shows you how stream processing can make data storage and processing systems more flexible and less complex.
Wouldn’t it be fun to build your own Google?
Exploring open web crawl data — what if you had your own copy of the entire web, and you could do with it whatever you want?