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
Friday, January 30, 2015
Introduction to Reactive Function (X) for Backend Developer
Friday, January 23, 2015
Wednesday, January 14, 2015
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
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
Thursday, January 8, 2015
Microservices architecture for software development
Microservices from Trieu Nguyen
- 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
Sunday, January 4, 2015
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 .
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