Big Data Processing Framework


Our Big Data Unified Framework to manage big data processing requirements with a variety of processes and technologies that are diverse in nature.

   Data Analysis

  • Understand Business Domain
  • Identifying pattern in Data
  • Deriving Value from Data
  • Identify Data Exchange Needs
  • Opportunity , Threats in Data
  • Data security Needs
  • Data Variety

   Infrastructure

  • Data Volume Needs
  • Computation needs
  • Operating Cost
  • Scalability for Big Data
  • Capacity Management
  • Continuous Data
  • Management

   Insights

  • Big Data Decision Making
  • Identification of Issues
  • Identifying Analytics to
    address Business Issues
  • Identifying Monetization
    Needs
  • Identifying KPI’s , KPA’s

   Business Value

  • Business Process
  • Optimization
  • Improve operational engines
  • Uncover hidden insights
  • Innovate to drive top-line
    growth
  • Recommendation for
    Overcoming fragmentation
    for unified processes

Big Data Analytics Framework


  Sources

  • Streaming Data
  • Enterprise
    Apps
  • IOT Devices
  • Unstructured
    / Structured
    Data sources
  • NoSQL
  • Web
  • Cloud

  Extraction

  • Ingestion
  • Extraction
  • Federation

  Data Store

  • Data Warehouse
  • Operational

  Data Processing

  • Hadoop
  • Apache/Spark /Scala
  • New SQL
  • NoSQL

  Analytics

  • Predictive
    Analytics
  • Data Mining
  • Text
    Analytics
  • Simulation
  • Optimization

  BI/Visualization

  • Dashboards
  • Reporting
  • Querying
  • Monitoring