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http://www.oreilly.com/data/free/files/2014-data-science-salary-survey.pdf
http://www.oreilly.com/data/free/files/2015-data-science-salary-survey.pdf
http://www.oreilly.com/data/free/files/Data_Analytics_in_Sports.pdf
http://www.oreilly.com/data/free/files/advancing-procurement-analytics.pdf
http://www.oreilly.com/data/free/files/ai-and-medicine.pdf
http://www.oreilly.com/data/free/files/analyzing-data-in-the-internet-of-things.pdf
http://www.oreilly.com/data/free/files/analyzing-the-analyzers.pdf
http://www.oreilly.com/data/free/files/architecting-data-lakes.pdf
http://www.oreilly.com/data/free/files/being-a-data-skeptic.pdf
http://www.oreilly.com/data/free/files/big-data-analytics-emerging-architecture.pdf
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GokcerBelgusen / reactive_systems_bibliography.md
Created May 13, 2018 08:04 — forked from brendanzab/reactive_systems_bibliography.md
A reading list that I'm collecting while building my Rust ES+CQRS framework: https://github.com/brendanzab/chronicle

Functional, Reactive, and Distributed Systems Bibliography

Books

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GokcerBelgusen / kafka.md
Created October 15, 2016 22:32 — forked from ashrithr/kafka.md
kafka introduction

Introduction to Kafka

Kafka acts as a kind of write-ahead log (WAL) that records messages to a persistent store (disk) and allows subscribers to read and apply these changes to their own stores in a system appropriate time-frame.

Terminology:

  • Producers send messages to brokers
  • Consumers read messages from brokers
  • Messages are sent to a topic