yashk / thoughts

Thoughts Collected

Reactive

1. Reactive Manifesto (www.reactivemanifesto.org/).
2. React Conference 2014
3. [RxJava] (https://github.com/Netflix/RxJava)

Big Data

Theory

1. Minning Massive Datasets - [MMDS] (http://infolab.stanford.edu/~ullman/mmds.html) .
2. Stream Processing.
3. MS&E 317: Algorithms for Modern Data Models - [AMDM] (http://web.stanford.edu/~ashishg/amdm/)
4. CS 229r: Algorithms for Big Data - (http://people.seas.harvard.edu/~minilek/cs229r/)

Practical

1. Apache Spark , future Hadoop , cloudera backing it as future of hadoop.
2. Apache Kafka , goto infra project for realtime event processing.

Scala

1. http://twitter.github.io/scala_school/
2. https://twitter.github.io/effectivescala/
3. http://docs.scala-lang.org/tutorials/scala-for-java-programmers.html

Distributed Systems

1. Readings in distributed systems - http://christophermeiklejohn.com/distributed/systems/2013/07/12/readings-in-distributed-systems.html
2. Book - Distributed System for fun and profit - http://book.mixu.net/distsys/
3. http://brooker.co.za/blog/
4. https://github.com/Randommood/QConSF2015

Statefull services

1. https://speakerdeck.com/caitiem20/building-scalable-stateful-services
2. http://trevmex.com/post/129864905248/building-scalable-stateful-services-strangeloop
3. https://speakerdeck.com/caitiem20/craftconf-2016-building-scalable-stateful-services

Latency Measurement

https://bitbucket.org/marshallpierce/hdrhistogram-metrics-reservoir http://taint.org/2014/01/16/145944a.html https://twitter.com/aphyr/status/413131322753044480

Machine Learning

Pedro

1. http://www.slate.com/articles/technology/bitwise/2015/09/pedro_domingos_master_algorithm_how_machine_learning_is_reshaping_how_we.single.html

2. Dive into machine learning - http://hangtwenty.github.io/dive-into-machine-learning/

3. Visulisating ML -http://www.r2d3.us/visual-intro-to-machine-learning-part-1/