Big Data and Data Analytics Flashcards

1
Q

What is the definition of Big Data?

A
  • Extremely large data sets
  • too complex for traditional tools
  • analyzed computationally to reveal patterns and trends
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2
Q

Who coined the term “Big Data”?

A

John Mashey in the 1990s

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3
Q

What are the 4 V’s of Big Data?

A
  • Volume: large amount of data generated and stored
  • Velocity: high speed and continuous flow
  • Variety: structured, semi-structured, unstructured data
  • Veracity: accuracy and reliability of data
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4
Q

What is structured data?

A
  • conforms to a data model or schema
  • stored in tabular form
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5
Q

Give an example of semi-structured data.

A
  • Data with tags or markers
  • JSON or XML
  • don’t fit rigid structures.
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6
Q

What percentage of data is estimated to be unstructured?

A

90%

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7
Q

What is Data Analytics?

A

Technologies that turn raw data into insights for decision-making.

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8
Q

What are the four types of data analytics?

A
  • Descriptive: what has happened
  • Diagnostic: why it happened
  • Predictive: what will happen in the future
  • Prescriptive: what is recommended
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8
Q

How does the Project Green Light initiative use data?

A
  • uses data from google maps
  • measures traffic flow
  • analyzes patterns to improve urban traffic management
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