Pinned Repositories
abc
Online coding puzzle
amplify-cli
A CLI toolchain for simplifying serverless web and mobile development.
articles
personal article repository.
aws-lambda-rdbms-integration
Integrating AWS Lambda with EC2 hosted Relational Databases
beiyuu.github.com
BeiYuu's Blog
blitzscaling
cs183c 斯坦福创业课程
free-programming-books-zh_CN
免费的计算机编程类中文书籍,欢迎投稿
notes
essay and files
startupclass-cn
Startupclass 中文翻译文稿
tda-api
A TD Ameritrade API client for Python. Includes historical data for equities and ETFs, options chains, streaming order book data, complex order construction, and more.
dongfeiwww's Repositories
dongfeiwww/free-programming-books-zh_CN
免费的计算机编程类中文书籍,欢迎投稿
dongfeiwww/abc
Online coding puzzle
dongfeiwww/notes
essay and files
dongfeiwww/beiyuu.github.com
BeiYuu's Blog
dongfeiwww/blogposts
This is the source files of my blog posts,with extension of '.md'. To see my blog, go to http://zipperary.com.
dongfeiwww/BloomFilter
A simple Bloom Filter implementation in Java
dongfeiwww/cascalog
Data processing on Hadoop without the hassle.
dongfeiwww/datafu
Hadoop library for large-scale data processing, now an Apache Incubator project
dongfeiwww/Duke
Duke is a fast and flexible deduplication engine written in Java
dongfeiwww/effectivescala
Twitter's Effective Scala Guide
dongfeiwww/emacs_config
my emacs configuration and some notes
dongfeiwww/incubator-spark
Mirror of Apache Spark
dongfeiwww/incubator-storm
Mirror of Apache Storm
dongfeiwww/mojombo.github.io
Jekyll source for my personal blog.
dongfeiwww/org-blog
my blog write by emacs org-mode
dongfeiwww/printDependency
Print dependency in topological order
dongfeiwww/rsms.github.com
My blog
dongfeiwww/Starfish
Starfish is a self-tuning system for big data analytics. Starfish builds on Hadoop while adapting to user needs and system workloads to provide good performance automatically, without any need for users to understand and manipulate the many tuning knobs in Hadoop.
dongfeiwww/t8
Tiny url service using rest.li
dongfeiwww/working-with-big-data
Slides, code, and supplemental materials for the LiveLesson: Working with Big Data: Infrastructure, Algorithms, and Visualizations