About Big Data

The quantity, variety, and velocity of data feeding into organizations are reaching unprecedented levels.

  • Big Data is being generated automatically and inexpensively from:
    • Text
    • Blogs
    • Financial and non-financial transactions
    • Sensors
      • Point-of-sale scanners
      • Cell phones with GPS
      • In homes and cars
      • Wearable health trackers: Jawbone and Fitit
      • Radio-frequency identification (RFID) tags
    • Barcode and QR code data
    • Social Media content
      • Text-based
      • Image-based
      • Audio and video
    • Internet browsing activities
    • Internet search
  • Data is in two formats, structured and non- structured formats. Structured data which is organized in a data model, such as rows and columns in a relational database whereas Unstructured data which is not pre-organized, like text or images.

Benefits of Big Data:

A New competitive advantage  for Big Data analytics:

  • Benefits of better insights from Big Data analytics are almost limitless.
  • Some examples are:
    • In general, overall improvements in decision making.
      • Using data to uncover hidden patterns, unknown correlations.
      • Minimize risks, and unearth valuable insights that would otherwise remain hidden.
  • Marketing: More precise segmentation of customers to better tailor products or services.
  • Manufacturing: Improve supply planning and boost product quality.
  • Finance: Detecting patterns minimizing fraudulent activities earlier than current methods allow.
  • Education: Improving learning outcomes for individual students.
  • Healthcare:
    • Identifying the most effective and economical treatments for illnesses and diseases.
    • Improving provider efficiencies while improving patient outcomes.

Our offerings 

Uncovering meaningful insights!

  • Create comprehensive structures around your data.
  • Collecting, and structuring data to derive insights through statistical analysis.
  • Design, build and deploy applications that make Big Data accessible and actionable.

Technical expertise:

  • Big Data analytics
  • Hadoop ecosystem expertise
    • Hadoop
    • Hive
    • MapReduce
    • Sqoop
    • Hadapt
    • Hortonworks
    • HBase
  • Database expertise
    • NoSQL
    • NewSQL
    • MPP databases
    • BigQuery/table
  • Oozie- Managing workflows
  • Nagios - System alerts.
  • Ganglia - Performance monitoring
  • Flume - Fault tolerant data collection
  • Pig - Data processing
  • Pentaho - Data integration and analytics
  • Tableau - Visualization
  • Chartio - Visualization
  • Mahout - Machine learning/predictive analytics

Big Data implementation

  • Design, development, integration, migration & support
  • Recommend and construct the Big Data infrastructure for:
    • High performance
    • Scalability
    • Redundancy
  • Define the ETL process for heterogeneous sources:
    • Structured data
    • Semi-structured data
    • Unstructured data
  • Log management
  • Reporting integration (Proprietary or third party)
  • Implement open source and commercial data analytics
  • Implement warehouse services
  • Implement data computational platform for analytics
  • Map-reduce jobs to work on large data sets
  • Recommender system
  • Predictive analysis
  • Data archiving and purging

Radicle’s Big Data resources

  • Big Data engineers and data scientists
  • Big Data developers
  • Availability
    • Project basis
    • Onsite, remote or off-shore

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