What is the difference between big data and data science?
|Big Data||Data Science|
|Used to handle large amounts of data||Used to analyze the data|
|Used for processing large amounts of data while generating insights||Used to understand a pattern in the data sets which help in decision making.|
|Identified by volume, veracity, variety and velocity of data||Identified by the processing of Big Data and the solutions it brings to the table.|
|Includes structured, semi-structured and unstructured data.||Includes forecasting, decision-making prediction and classification based on the data.|
|Generally used by the Ecommerce, Telecommunication and Security Industries.||Generally used for Sales, Image Recognition, Risk Analytics and Digital Advertisements|
|Tools used are: Spark, Hadoop and Flink||Tools used are: SAS, Python and R|
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