Big Data

left-big-data

Big Data: Analyzing Large Data Sets to Make Sense Your Data

About Big Data

  • The Quantity, Variety and Velocity of data feeding into organizations is 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
    • Bar code and QR Code Data
    • Social Media Content
      • Text based
      • Image Based
      • Audio and Video
    • Internet Browsing activities
    • Internet Search
  • Data is in Structured and Non- Structured Formats
    • Structured data (organized in a data model, such as rows and columns in a relational database)
    • Unstructured data (not pre-organized, like text or images)

Benefits of Big Data:

A New Competitive Advantage: 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.
  • In marketing: more precise segmentation of customers to better tailor products or services.
  • In manufacturing: improve supply planning and boost product quality
  • For finance: Detecting patterns minimizing fraudulent activities earlier than current methods allow
  • For education: improve learning outcomes for individual students
  • For healthcare:
    • Identifying the most effective and economical treatments illnesses and diseases
    • Improving provider efficiencies while improving patient outcomes

Our Big Data Services

Uncover 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 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

Our Big Data Resources

  • Big Data Engineers and Data Scientists
  • Big Data Developers
  • Availability
    • Project basis
    • Onsite, remote or off-shore