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BigData VS Data Science
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BigData VS Data Science
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What is Big Data
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• Collection of huge data which is growing exponentially is
known as Big Data.
• The data is so large that traditional data management tool
cannot standalone handle it.
• So the technology which handle it has been named as
BIG DATA only.
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How big is Big Data?
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• The New York Stock Exchange is generating about one
terabyte of new trade data per day.
• Facebook is generating 500+ terabytes of data daily.
• Jet Airline has on an average generating 10+terabytes for
30 mins of flight duration
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What is Data Science?
• Data science is an inter-disciplinary field that uses scientific methods,
processes, algorithms and systems to extract knowledge and insights
from many structural and unstructured data.
• Data Science is related to data mining,machine learning and Big data.
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Key differences – Big Data vs Data
Science
1. Meaning
2. Concept
3. Formation
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Meaning
1. Data Science is more skewed towards application of scientific methods on the
data.
2. Big Data is more towards technology which collects and maintains huge data.
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Concept
1. Cleaning the data, getting insights and get prediction is the concept on which data
science application works.
2. Big Data is more towards technology which collects and maintains huge data.
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Formation
1. The source for Data science can be databases,social media and even Big data.
2. Big companies like Facebook,IOT devices,Financial Institutes uses Big Data to
manage and store the data.
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