The Four Vs of Data

Data Science    |    Intermediate
  • 13 Videos | 45m 9s
  • Includes Assessment
  • Earns a Badge
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The four Vs (volume, variety, velocity, and veracity) of big data and data science are a popular paradigm used to extract meaning and value from massive data sets. In this course, learners discover the four Vs, their purpose and uses, and how to extract value by using the four Vs. Key concepts covered here include the four Vs, their roles in big data analytics, and the overall principle of the four Vs; and ways in which the four Vs relate to each other. Next, study variety and data structure and how they relate to the four Vs; validity and volatility and how they relate to the four Vs; and how the four Vs should be balanced in order to implement a successful big data strategy. Learners are shown the various use cases of big data analytics and the four Vs of big data, and how the four Vs can be leveraged to extract value from big data. Finally, review the four Vs of big data analytics, their differences, and how balance can be achieved.

WHAT YOU WILL LEARN

  • describe the principle of the four Vs of big data analytics
    specify volume in big data analytics and its role in the principle of the four Vs
    specify variety in big data analytics and its role in the principle of the four Vs
    specify velocity in big data analytics and its role in the principle of the four Vs
    specify veracity in big data analytics and its role in the principle of the four Vs
    discuss the way the four Vs of big data relate to each other
  • define variety and data structure and how they relate to the four Vs of big data
    define validity and volatility and how they relate to the four Vs of big data
    discuss how the four Vs should be balanced in order to implement a successful big data strategy
    describe various use cases of big data analytics and the four Vs of big data
    specify how the four Vs can be leveraged to extract value from big data
    describe the four Vs of big data analytics, their differences, and how balance can be achieved

IN THIS COURSE

  • Playable
    1. 
    Course Overview
    1m 28s
    UP NEXT
  • Playable
    2. 
    Overview of the Four Vs
    3m 53s
  • Locked
    3. 
    The Importance of Volume
    4m 43s
  • Locked
    4. 
    The Importance of Variety
    2m 56s
  • Locked
    5. 
    The Importance of Velocity
    3m 56s
  • Locked
    6. 
    The Importance of Veracity
    4m 8s
  • Locked
    7. 
    The Relationship Between the Four Vs
    2m 48s
  • Locked
    8. 
    Variety and Data Structure
    1m 53s
  • Locked
    9. 
    Validity and Volatility
    1m 59s
  • Locked
    10. 
    Finding Balance in the Four Vs
    3m 28s
  • Locked
    11. 
    Use Cases
    2m 58s
  • Locked
    12. 
    Extracting Value from the Four Vs
    2m 17s
  • Locked
    13. 
    Exercise: Describe the Four Vs of Big Data
    3m 14s

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