Undertanding Big Data, Analytics for Enterprise Class Hadoop and Streaming Data

Brief Background (We are seeing all the time)

Big data applies to the Information that can’t be processed with traditional processors and  tools but same traditional tools should not be mixed Big Data solutions. Increasingly   Enterprises are having challenges how to access the wealth of information but they don’t know how to get the values of it because it’s sitting in most raw form unstructured or semistructured format.

Thinking of BIG Data Solution why?

Big Data can be interpreted in many different way and that is why it’s conforming as V3. Velocity, Volume and varieties that characterizes it.

  1. Analyzing the raw unstructured, semiunstcrtured data from wide variety of sources. Big Data Solution can work on structured content too.
  2. Big Data are ideal for iterative and  exploratory analysis where business has not any predefined formula just like Traditional BI solutions where BI Solution providers has proprietary fixed formula for specific industries like Retail etc
  3. Big Data solution are ideal when analysis has to be done on whole set of data not on sample of data else it wouldn’t be as effective.

Traditional BI Tools has been always working on data that is per-processed while BIG data does analysis when data is in motion not in the rest most of the time. That’s where Stream Processing with low latency with high volume of data is key factor in Big Data technologies.

Broader use case for Big Data Solutions

  1. IT logs analytic
  2. Fraud Detection patterns
  3. The social media pattern
  4. Energy Sector
  5. Health care
  6. Retails sector
  7. Patterns for modeling and Management

Big Data Platform available in the market

Broader Technical Spectrum/Stack in Big Data provided by different vendors

Leading Research Investment in Big data


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