Big Data

 Big data refers to extremely large and complex datasets that cannot be effectively managed, processed, or analyzed using traditional data processing tools and methods. 

While raw big data contains a wealth of potential insights, it requires processing, transformation, and analysis to unlock its value.Once processed, the data can be analyzed using advanced analytics, machine learning, and statistical methods to uncover insights, patterns, and trends.

Application of Big data analysis:

Sector 

Application

Agriculture 

  • Precision Agriculture : data from Automatic weather stations(AWS), Soil sensors, crop images etc ⇒ Sowing, irrigation management etc
  • Commodity Price forecasting model

Weather Forecasting

  • IMD uses INSAT -3D and INSAT-3DR satellite data 

Business analytics 

  • to analyze customer behavior, market trends, sales performance, and operational efficiency, Targeted advertisment

Medical and health

  • Radiology : Computer aided diagnosis algorithms , Medical imaging 
  • During pandemic like covid 19 : analyzing genomic sequences , Variant Detection, Drug Discovery, informed public health policy

Disaster Management 

  • Hydrological Data Sharing between India and China ⇒ Flood Forecasting

Governance 

  • Geo tagging of assets in MGNREGA
  • Project ADVAIT (advanced analytics in indirect taxes )to identify suspicious trends
  • Project insight by income tax department

Banking

  • Detecting banking frauds, credit scores etc

Urban Planning

  • leveraged in smart city initiatives for urban planning, traffic management, public safety, and environmental monitoring.


(Writing definition in 5/10 Marker : Big data refers to a vast and complex collection of data sets characterized by their volume, velocity, variety, veracity, variability, and value.)

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