Martin Kleppmann explores using event streams and Kafka for keeping data in sync across heterogeneous systems, and compares this approach to distributed transactions, discussing what consistency guarantees can it offer, and how it fares in the face of failure.
Martin Kleppmann is a researcher at the University of Cambridge Computer Laboratory, where he works at the intersection of databases, distributed systems and information security. He previously founded and sold two startups, and worked on data infrastructure at LinkedIn.
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