Learn more about computerscience with this collection
Understanding machine learning models
Improving data analysis and decision-making
How Google uses logic in machine learning
Value
How the data is put to work?
Can lead to informed decisions and measurable improvements based on the data being collected, analyzed, researched, and interpreted at a global-scale.
Covid Examples:
Leading to informed decisions like -
- Governments imposing restrictions like lockdowns travel bans, etc.,
- Pharma companies planned on scaling up vaccine production, etc.
- Temporary testing, healthcare, and vaccination centers sprung across, to cater to pandemic needs
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Volume
Refers to the Huge Volumes of Data.
An abundance, an explosion of Data.
Covid Examples:
The number of people getting infected through the peaks of the pandemic.
The number of people getting tested versus testing positive.
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Velocity
The speed at which new data is created,
and the need for the new data to be considered and analyzed.
The speed at which the data is generated and processed to meet the expectations.
Covid Examples:
The speed at which the pandemic was spreading to ...
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The 5 Vs of Big Data
Big Data can be thought of as having 5 distinct dimensions.
- Volume
- Velocity
- Variety
- Variability
- Value
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Variety
The nature of data, their Heterogeneous sources of structured, semi-structured and unstructured data.
Diversity of Data Distribution.
Can lead to different Interpretations.
May call for Specialization and Standardizatio...
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Variability (or Veracity)
Inconsistencies and Uncertainties in Data.
Depends on factors of data, like - sampling methods, mode of capture, place, time, intervals, parameters, accuracy, completeness, etc.
Can lead to variations in meaning, interpretation, processes, and challenges involved.
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Data is a critical tool for today's fast-paced world. Covid pandemic has proved that recently. The fight against covid has highlighted how we can use an intensely data-driven approach for the future of our existence.
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