RFX, Reactive Function X, the full-stack framework for "fast data" problems
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| RFX framework |
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| Draft Architecture at my workspace |
Contents:
- What is Rfx ?
- Why is Rfx ?
- Inception and Ideas
- How Rfx was born
- Concepts and architecture: The BIG picture
- Coding and tutorials from practical problems
- Resources for self-studying
First version 1.0 (Code name: Noah's Ark)
The roadmap for Rfx 1.0 - a Reactive Big Data Framework
Name:
Goals (RFVA):
Targeting to:
Problems & Domains:
Theory ?
The roadmap for Rfx 1.0 - a Reactive Big Data Framework
- Reactive Function X Framework (aka: RFX)
Goals (RFVA):
- Full Stack (backend+frontend) real-time big data framework
- Backend: Data Crawler/Importer/Exporter + Kafka + Netty + Akka + Redis
- Frontend: HTML5 + AngularJS + D3 + Bootstrap
Support RQL (Reactive Query Language)
Some examples:
- subscribe * from Article where title contains ['Flappy Bird'] and facebook's stats (like + share + comment) > 1000
- subscribe * from my Facebook’s Feeds where my facebook’s friends shared and domain contains [‘diadiemanuong.com’] or title contains [‘caffee’]
- subscribe * from Article where i could like and category in [‘big data’, ‘computer’,’mobile’]
- subscribe * from my Facebook’s Feeds where my facebook’s friends shared and title contains ‘Fast and furious’
- subscribe, visualize places from my Facebook’s Feeds where i and my wife took photos
Targeting to:
- Big Data Developers
- Data Scientists
- Data Analysts (e.g: marketer , solve marketing problems in real-time )
- All users, who want to play with stream data
Problems & Domains:
- Stream processing, in 3Vs of Big data, we will solve {Velocity and Volume} problems
- Social Media Research (Facebook Graph + News) for data-driven marketing
- Humanity issues (data science)
- Social Science (Classical Statistics with stream data from news, social data)
- Real-time Data-Driven Business
- Time series data visualization
Theory ?
