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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