Big Data

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