Big Data

Big Data Implementations

Big volume of data termed as Big data. As it contains multiple variety of information resources, it must be cost-effective and includes State-of-the-art forms of information processing to achieve improved vision and decision making solutions. Big Data management challenges includes capturing, searching, sharing, storage, and visualization and information security of data.

big data

There is another challenge while managing Big data that how to manage storage issues with the structured and unstructured data queries, the challenge also deals with the great potential to choose which data is valuable and its storage ability (any amount of data) using service hardware with linear scalability.

Gartner analyst Doug Laney has defined a theory of three-dimensional data growth challenges; includes

  1. a) Increasing volume of data
  2. b) Speed of data I/O operations
  3. c) Data types and their source.


Gartner has described this model as

“Big data is high volume, high velocity, and/or high variety information assets that require new forms of processing to enable enhanced decision making, insight discovery and process optimization.”

Cisco said it as “The Zettabyte Era,” where a zettabyte equals 1 trillion gigabytes.

Todays; we are dealing with the world having Machine-to-Machine and data-to-data communications; either with the help of IoT infrastructure or with the sensor nets, innovations occur when multiple types of information intersects with each other such as structured or unstructured and internal or external.

BigData Provisioning for service solutions to improve productivity should include:

  1. Consumer Intelligence
  2. Product Modernization
  3. Operational Revolution and Competences
  4. Risk, Threat and Fraud Detection

Predictions on Opportunities, Challenges and Strategies

The big data market report of 2015-2030 suggests about Big Data ecosystem, Market drivers and barriers, technology and regularization initiatives. It provides analysis and use cases roadmap and value chain for vertical markets, analytics technology and case studies, the recommended hardware, software and professional services for vendors.

Concluding the article; Big Data is a set of technologies to capture, store, manage and analyze enormous pools of data to solve complex issues and problems, including the data from portable sources such as mobile devices, web, social media, sensors and transactional applications.


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