Learn more about computerscience with this collection
Understanding machine learning models
Improving data analysis and decision-making
How Google uses logic in machine learning
The 5 Vs of Big Data
Big Data can be thought of as having 5 distinct dimensions.
- Volume
- Velocity
- Variety
- Variability
- Value
7
104 reads
MORE IDEAS ON THIS
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.
6
39 reads
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:
...6
34 reads
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 ...
7
21 reads
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...
6
26 reads
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.
6
22 reads
CURATED FROM
IDEAS CURATED BY
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.
“
Related collections
Other curated ideas on this topic:
Big data
- Big data is a combination of structured and semi-structured data collected by organizations that can be mined for information, machine learning, and predictive modeling.
- Big data draws broad patterns from massive amounts of data from large end-user or customer samples
- Big dat...
Big Data
- There is an explosion of valuable digital data generated by consumers as we live our daily lives.
- Advances in technology such as AI, Machine Learning and Cloud Computing provide numerous ways to leverage the data.
- Apart from having Big Data, companies need to have an analytic...
Big data Hadoop
- Ability to store and process huge amounts of any kind of data, quickly. With data volumes and varieties constantly increasing, especially from social media and the Internet of Things (IoT) , th...
Read & Learn
20x Faster
without
deepstash
with
deepstash
with
deepstash
Personalized microlearning
—
100+ Learning Journeys
—
Access to 200,000+ ideas
—
Access to the mobile app
—
Unlimited idea saving
—
—
Unlimited history
—
—
Unlimited listening to ideas
—
—
Downloading & offline access
—
—
Supercharge your mind with one idea per day
Enter your email and spend 1 minute every day to learn something new.
I agree to receive email updates