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Notes: Designing Data-Intensive Applications

Notes: Designing Data-Intensive Applications. GitHub Gist: instantly share code, notes, and snippets. ....

Martin Kleppmann , Network Dbs , Designing Data Intensive , Data Models , Online Transaction Processing , Online Analytics Processing , Structured Merge Trees , Sorted String Tables , Bloom Filters , Levenshtien Automaton , Clustered Index , Cheap File , Covering Index , Concatenated Index , Data Cubes , Oriented Architecture , Write Wins , Pending Posts , Read Committed , Snapshot Isolation , Multi Version Concurrency Control , Serializable Snapshot Isolation , Trouble With Distributed , Vector Clocks , Order Broadcast , Asynchronous Model ,

Distributed systems for fun and profit

Distributed systems for fun and profit
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San Francisco , United States , Eteläuomen Läi , Voldemort Linkedin , Eric Brewer , Pat Helland , Google Bigtable , Leslie Lamport , Linkedin Voldemort , Joe Hellerstein , Nathan Marz , Bigtable Megastore , Jay Kreps , Monte Carlo , Guerraoui Rodrigues , Neil Conway , Marc Shapiro , Edsgerw Dijkstra , Facebook Cassandra , Weikum Vossen , Peter Alvaro , Time Parliament , Distributed System , Bryan Barret , Paxos Made Live , Google File System ,