• Requirements and Planning

    Define and articulate Big Data Solution requirements, scoping and planning

  • Solution Outline

    Create a conceptual high-level view of the solutions by defining the components of the solutions and the scope

  • Macro/Micro Design

    Top-level logical design for the big data solution including the data integration system, data repositories, the analytics system and the access system.
    Deliver the final, detailed set of blue prints for the building the big data solution

  • Build

    Construct the big data solution/environments including the data integration system, the data repositories, the analytics system and the access system

  • Deploy

    Implement the big data solutions in the productions environment and deliver to the user community. Training and knowledge tranfer

Proof of Concept (POC ) Consulting


Proof of Concept Options                                                                                                                                   

  1. Leverage existing enterprise investment and build advanced data set from new data sources
    • Real time
    • Near real time
    • Batch process


  1. Big Data centralized reporting platform across different sources



On premise enterprise, cloud computing environment


System requirements                                                                                    

5 server minimum, 16 GB, 2 TB of storage OR Cloud computing – additional cost for cloud service


What does POC consist of?

  1. 5 different types of data events / schema
    • Existing data sets from database
    • Data warehouse
    • New data set
  2. 15 different sources
  3. One dashboard – 5 different business KPI metrics


Access requirement                                                                                                                               

Read only access to customer target data


User permission                                                                                                                                      

Provide access to the servers


Resource requirement  

  • Access to system administrator
  • Access to Business Analyst resource to define metrics to be measured or compared against existing reporting practices
  • Define any true (no batch file) real time reporting requirements


DataReady resources                                                                                                                             

One DataReady Architect, one Big Data Subject Matter Expert


Time line- 160 hours                                                                                                                              

  • Week 1 – requirements gathering solution scope and system architecture
  • Week two & three- customization and implementation
  • Week 4 deployment , tune and observe metrics
  • POC system license expires at end of two month period


Successful Pilot/POC criterion – example

Success criterion based on visualization of the following KPIs

1. Operational device / machine log

  • Linux/ Windows system logs
  • Firewall logs
  • Load balancing logs


2. Business Application Logs

  • Business Intelligence Applications
  • Enterprise Resource Plan (ERP)
  • Proprietary Business Application


3. External Feeds

  • Social Media
  • Twitter
  • Facebook
  • Google Plus
  • Other


4. Corporate feeds / Rich Site Summary (RSS)

  • Bloomberg
  • Reuters
  • Other


5. Internet of Things (IoT)

  • Internet connectivity gets embedded into everything from baby monitors to industrial sensors


6. Acceptance for roll to production

  • Defined in statement of work