All aboard the Databus!: Linkedin's scalable consistent change data capture platform

@inproceedings{Das2012AllAT,
  title={All aboard the Databus!: Linkedin's scalable consistent change data capture platform},
  author={Shirshanka Das and Chavdar Botev and Kapil Surlaker and Bhaskar Ghosh and Balaji Varadarajan and Sunil Nagaraj and David Zhang and Lei Gao and Jemiah Westerman and Phanindra Ganti and Boris Shkolnik and Sajid Topiwala and Alexander Pachev and Naveen Somasundaram and Subbu Subramaniam},
  booktitle={SoCC},
  year={2012}
}
In Internet architectures, data systems are typically categorized into source-of-truth systems that serve as primary stores for the user-generated writes, and derived data stores or indexes which serve reads and other complex queries. The data in these secondary stores is often derived from the primary data through custom transformations, sometimes involving complex processing driven by business logic. Similarly data in caching tiers is derived from reads against the primary data store, but… CONTINUE READING
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