Tuesday, January 13, 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

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 .

Sunday, December 28, 2014

The 12 characteristics of modern application development

Here are 12 attributes that characterize the new mode of application development beginning to make inroads in enterprises:
  1. Mobile: Supporting touch interaction and adaptability .
  2. Cloud-Backed: for back ends in the form of PaaS.
  3. Agile: Incremental, frequent releases. Rapid response to change. 
  4. Continuously Integrated and Delivered: Applications must be integrated to run daily. Heavy reliance on automated testing.
  5. DevOps-Enabled: Developers own deployment or work seamlessly with Ops staff to release, test, refine and rerelease applications to users. 
  6. App Store Delivered and Extended: 
  7. Reactive Analytics Infused: Developers get rich intelligence on application usage. With automation and quick turnaround (e.g. A/B testing of planned features), reactive analytics could display optimized UX and personalized information for user
  8. User Experience-Centric: Focusing on the design and appearance of the application 
  9. Socially Oriented: Integrating of user-interface patterns borrowed from social networks, such as timelines, event streams, social graphs and other social metadata. Data is updated using event-based push-oriented patterns. Integrated search functionality. Seamless support for content elements such as images and video. Integration with consumer or enterprise social networks.
  10. API Factored and Surfaced: use standardized, loosely coupled and lightweight REST call formats to reduce complexity and maximize accessibility.
  11. Lightweight: Less complex software that is less time-consuming to install, learn and use. 
  12. Model-Driven: Rich use of visual tools to support abstraction in the development toolset such as for relations in a data model, business logic flows, and process flows.