Guided Refactoring

The best way to feel the power and difference between traditional and Big Data approaches is to follow an uninterrupted refactoring of a single use-case; from data landing, through transformation and into archive and reporting phases.


  • The engagement is a structured documented approach and produces a detailed architecture of the approach illustrating the specific use-case and its configurations
  • Data workflow and phase breakdown/life-cycle
  • Monitoring and job recovery elaboration/configuration
  • Documentation and configuration of all processing layer dependencies by phase breakdown/life-cycle


The client receives a guided and documented “Best Practice” approach, implementation and training covering a single source of data, through its life-cycle on Hadoop and into the reporting layer.  The client will gain the knowledge of HOW and WHY the approach chooses the layers and methods that it does to get the job done.


Machine Learning Articles

Datalakes are all the rage in IT right now, but can it really transform the tactics and strategy of the business ?

Read more