Big Data vs Data Science

Top 4 Differences

Volume

Big Data: Storing and analyzing petabytes of social media data for sentiment analysis

Data Science: Analyzing a small dataset of customer feedback comments for sentiment analysis

Focus

Big Data: Utilizing distributed file systems like Hadoop to manage and store log files

Data Science: Using data science to identify trends in customer purchasing behavior from structured sales data

Data Variety

Big Data: Processing unstructured text data from various sources for sentiment analysis

Data Science: Analyzing structured customer demographic data for market segmentation

Data Processing

Big Data: Processing high-velocity data from IoT sensors to monitor equipment health

Data Science: Developing machine learning models to predict customer churn using historical data

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