Defining and Understanding Big Data

 Defining and Understanding Big Data

 

 

Defining Big Data

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* Big Data in quantitative sense implies a huge amount of data with a large database engine with higher complexity and depth

 

* The sheer amount of data considered as big data is so large

that humans cannot visualize it reasonably without employing machine learning models for any kind of recognition as machine learning enables understanding and use of big data

 

* A big data source describes a repository that one can get data from and start working over that data to solve general problems with multiple variables and degrees to act upon the data variables

 

* Big Data involves acquisition of large data and datasets which is a very daunting and challenging job . Also , a big challenge associated with Big Data is the complicated process of storage and transfer of the data for effective processing .

 

* Another big concern about Big Data is Anonymity as big data presents a lot of concerns about Privacy and Data Protection as well .However , if big data is employed for machine learning problems then privacy and personal data processing might not be such a big issue as the goal of machine learning is to make models for patterns identification and predictions .