This is defined as like its name Big data! It’s a large where traditional data processing is insufficient to deal with them. So it will help to collect large amount of structured and unstructured data that has the potential to be mined and removed the data for to make information.
Big Data deal with a challenges like Querying,Updating, Visualization,Transfer,Storage,information privacy,Search,Data curation,sharing, analysis and capture.
It deal with the Bulk data sizes beyond the ability which could not be controlled by common software tools like capture,curate, manage, and process data within a tolerable elapsed time.
Gartner has designed a structural form for BIGDATA as ‘3Vs’and This 3Vs have been expanded to other complementary characteristics of big data. Big data “size” is a constantly moving target ranging from a few dozen terabytes to many petabytes of data.
Data must be processed with advanced tools to reveal meaningful information.
In manufacturing applications Big data analytics it’s marketed as a 5C architecture as conversion,connection,cyber,configuration and cognition.
BIG DATA ESSENTIAL CHARACTERISTICS:
Volume: It’s a quantity of generated and stored data. The size of the data determines the value and potential insight, whether it can actually be considered big data or not.
Variety: The type and nature of the data helps people to analyse it to effectively use the resulting insight.
Velocity:In this specific situation,the speed at which the data is created and processed to meet the demands and challenges that presents on the way of growth and development.
Volatility: It determines the data, how long it should be stored.
Veracity:This makes the unwanted data to be removed automatically.
The main components of BIG DATA are ,
- Techniques for analyzing data, such as A/B testing, machine learning and natural language processing.
- Big Data technologies, like business intelligence, cloud computing and databases.
- Visualization, such as charts, graphs and other displays of the data.
- It has increased the demand of information management specialist and it applied in multiple fields like Cyber-physical models,Government sectors, Manufacturing,International development, Media,Education,Healthcare, Internet of Things (IoT),Real estate, Retail banking, Science and Research etc…