# The Four Vs of Data

Data Science    |    Intermediate
• 13 videos | 39m 39s
• Includes Assessment
Rating 4.1 of 72 users (72)
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

• Upon completion of this video, you will be able to describe the principle of the four Vs of big data analytics.
• 3.  The Importance of Volume
After completing this video, you will be able to specify volume, velocity, variety, and veracity in big data analytics.
• 4.  The Importance of Variety
Upon completion of this video, you will be able to specify the variety in big data analytics and its role in the principle of the four Vs.
• 5.  The Importance of Velocity
Upon completion of this video, you will be able to specify velocity in big data analytics and its role in the principle of the four Vs.
• 6.  The Importance of Veracity
After completing this video, you will be able to specify veracity in big data analytics and its role in the principle of the four Vs.
• 7.  The Relationship Between the Four Vs
Learn how to discuss the way the four Vs of big data relate to each other.
• 8.  Variety and Data Structure
In this video, you will learn the definitions of variety and data structure, and how they relate to the four Vs of big data.
• 9.  Validity and Volatility
In this video, you will define validity and volatility and how they relate to the four Vs of big data.
• 10.  Finding Balance in the Four Vs
In this video, you will discuss how the four Vs should be balanced in order to implement a successful big data strategy.
• 11.  Use Cases
Upon completion of this video, you will be able to describe various use cases of big data analytics and the four characteristics of big data.
• 12.  Extracting Value from the Four Vs
After completing this video, you will be able to specify how the four Vs can be leveraged to extract value from big data.
• 13.  Exercise: Describe the Four Vs of Big Data
Upon completion of this video, you will be able to describe the four Vs of big data analytics, their differences, and how balance can be achieved.

## EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE

Skillsoft is providing you the opportunity to earn a digital badge upon successful completion on some of our courses, which can be shared on any social network or business platform.

Digital badges are yours to keep, forever.

## YOU MIGHT ALSO LIKE

Rating 4.6 of 13 users (13)

## PEOPLE WHO VIEWED THIS ALSO VIEWED THESE

Rating 4.4 of 503 users (503)
Rating 4.3 of 303 users (303)
Rating 4.2 of 6 users (6)