5 Vs of Big Data

  • Volume
  • Variety
  • Velocity
  • Value
  • Veracity
  • Problems with Big Data

    Storing exponentially growing huge datasets. Processing data having complex structure (Structured, Semi-Structured and Unstructured). Processing data faster: Huge data disk read/write speed, bottleneck in processing.



    Books and References

    Big Data is a term that describes the expansive volume of information - both structured and unstructured; that immerses a business on an everyday premise. In any case, it's not the measure of information that is imperative. It's what organizations do with the information/data that matters. Big data can be broke down for insights that lead to better choices and key business moves.

    What our Experts say

    Information is the oil of the 21st century, and analytics is the combustion engine.

    Peter Sondergaard , Senior Vice President, Gartner

    Big Data will spell the death of customer segmentation and force the marketer to understand each customer as an individual within 18 months or risk being left in the dust.

    Ginni Rometty , CEO, IBM

    The temptation to form premature theories upon insufficient data is the bane of our profession.

    Sherlock Holmes , fictional detective

    Hiding within those mounds of data is knowledge that could change the life of a patient, or change the world.

    Atul Butte , Stanford

    Method Applied to IT

    Continuous improvement applied for IT strategy solution to improve customer focus, training, quality management, teamwork, process management, product design, quality culture and hands-on projects to meet the client and organizational standards.

    Popular Methods are : Lean, Agile, Kaizen.

    Latest Blog

    Top 25 Cloud Computing Blogs Posted : 18 Oct Apr 2016
    Top 30 Cloud Computing Blogs Posted : Current


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