Big data is a field that treats ways to analyze, systematically extract information from, or otherwise deal with data sets that are too large or complex to be dealt with by traditional data-processing application software.
Big data challenges include capturing data,data storage,data analysis,search,sharing,transfer, visualisation,querying,updating, information privacy and data source. Big data was originally associated with three key concepts:
•volume
•variety
•velocity
VOLUME:-The quantity of generated and stored data. The size of the data determines the values and potential insight,and whether it can be considered big data or not.
VARIETY:- The type of nature of the data. This helps people who analyse it to effectively use the resulting insight. Big Data draws from the text,images,audio,video; plus it completes missing pieces through data fusion.
VELOCITY:- The speed at which the data is generated and processed to meet the demands and challenges that lie in the path of growth and development. It is often available in real time.
Benefits of big data analytics:-
•Big data analysis derives innovative solutions. It helps in optimising business processes.
•It helps in improving science and research.
•It improves health care and public health with availability of record of patients.
•Any one can access vast information via surveys and deliver answer of any query.
•Every second additions are made.
•One platform carry unlimited information.
Drawbacks of big data analytics:-
•Traditional storage can cost lot of money to store big data.
•Lots of big data is unstructured.
•Big data analysis violates principles of privacy.
•It can be used for manipulation of customer records.
•It may increase social stratification.
•Speedy updates in big data can mismatch real figures.
TECHIE'S SCRIBBLING 