Introduction to Reactive Function (X) for Backend Developer

Reactive Function (X) , the framework for solving Fast Data Problem by @tantrieuf31 #bigdata #fastdata #rfx #mc2ads http://t.co/vaKsN5tOO3
— Trieu Nguyen (@tantrieuf31) January 30, 2015

Đi tìm mối quan hệ nhân quả giữa "quảng cáo, marketing " và "doanh thu từ sản phẩm"

From Advertising Analytics 2.0 https://hbr.org/2013/03/advertising-analytics-20/ar/1

Does Current Advertising Cause Future Sales? from Trieu Nguyen

Where Apache Spark meets RFX-stream

Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.

Using & install Apache Spark http://www.mc2ads.com/2014/02/install-apache-spark-and-fast-log.html

Advanced use cases

RFX-stream is new kind of real-time data processing engine, based on Akka actor with Pipeline
http://www.mc2ads.com/p/rfx-for-big-data-developer.html

Microservices architecture for software development

Microservices from Trieu Nguyen

Adventures with Microservices from Anand Agrawal

• REST Microservice Architecture http://help.slimframework.com/discussions/questions/4569-using-slim-in-rest-microservice-architecture
• slimframework http://www.slimframework.com/
• http://martinfowler.com/articles/microservices.html

What is reactive analytics ?

Reactive analytics is new concept, which is used for describe the processes transform data, event to analytics and actions for reality. It's used in RFX framework .