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TotomiEcio | 4d1f71047a | |
binhnguyennus | 1cff6f5767 | |
TotomiEcio | 73a0e9395d | |
TotomiEcio | a89c628ed7 |
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@ -34,7 +34,7 @@ An updated and organized reading list for illustrating the patterns of scalable,
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- [Book](#book)
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## Principle
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* [Lessons from Giant-Scale Services - Eric Brewer, UC Berkeley & Google](https://people.eecs.berkeley.edu/~brewer/papers/GiantScale-IEEE.pdf)
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* [Lessons from Giant-Scale Services - Eric Brewer, UC Berkeley & Google](https://people.eecs.berkeley.edu/~brewer/papers/GiantScale-IEEE.pdf) (36 mins) (year: 2001)
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* [Designs, Lessons and Advice from Building Large Distributed Systems - Jeff Dean, Google](https://www.cs.cornell.edu/projects/ladis2009/talks/dean-keynote-ladis2009.pdf)
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* [How to Design a Good API & Why it Matters - Joshua Bloch, CMU & Google](https://www.infoq.com/presentations/effective-api-design)
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* [On Efficiency, Reliability, Scaling - James Hamilton, VP at AWS](http://mvdirona.com/jrh/work/)
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@ -708,6 +708,7 @@ An updated and organized reading list for illustrating the patterns of scalable,
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* [RBEA: Real-time Analytics Platform at King](https://techblog.king.com/rbea-scalable-real-time-analytics-king/)
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* [AresDB: GPU-Powered Real-time Analytics Engine at Uber](https://eng.uber.com/aresdb/)
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* [AthenaX: Streaming Analytics Platform at Uber](https://eng.uber.com/athenax/)
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* [Jupiter: Config Driven Adtech Batch Ingestion Platform at Uber](https://www.uber.com/en-SG/blog/jupiter-batch-ingestion-platform/)
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* [Delta: Data Synchronization and Enrichment Platform at Netflix](https://medium.com/netflix-techblog/delta-a-data-synchronization-and-enrichment-platform-e82c36a79aee)
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* [Keystone: Real-time Stream Processing Platform at Netflix](https://medium.com/netflix-techblog/keystone-real-time-stream-processing-platform-a3ee651812a)
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* [Databook: Turning Big Data into Knowledge with Metadata at Uber](https://eng.uber.com/databook/)
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