The Four Vs of Data
Data Science
| Intermediate
- 13 videos | 39m 39s
- Includes Assessment
- Earns a Badge
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
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Describe the principle of the four vs of big data analyticsSpecify volume in big data analytics and its role in the principle of the four vsSpecify variety in big data analytics and its role in the principle of the four vsSpecify velocity in big data analytics and its role in the principle of the four vsSpecify veracity in big data analytics and its role in the principle of the four vsDiscuss the way the four vs of big data relate to each other
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Define variety and data structure and how they relate to the four vs of big dataDefine validity and volatility and how they relate to the four vs of big dataDiscuss how the four vs should be balanced in order to implement a successful big data strategyDescribe various use cases of big data analytics and the four vs of big dataSpecify how the four vs can be leveraged to extract value from big dataDescribe the four vs of big data analytics, their differences, and how balance can be achieved
IN THIS COURSE
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1m 28s
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3m 53sUpon completion of this video, you will be able to describe the principle of the four Vs of big data analytics. FREE ACCESS
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4m 43sAfter completing this video, you will be able to specify volume, velocity, variety, and veracity in big data analytics. FREE ACCESS
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2m 56sUpon 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. FREE ACCESS
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3m 56sUpon 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. FREE ACCESS
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4m 8sAfter completing this video, you will be able to specify veracity in big data analytics and its role in the principle of the four Vs. FREE ACCESS
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2m 48sLearn how to discuss the way the four Vs of big data relate to each other. FREE ACCESS
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1m 53sIn this video, you will learn the definitions of variety and data structure, and how they relate to the four Vs of big data. FREE ACCESS
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1m 59sIn this video, you will define validity and volatility and how they relate to the four Vs of big data. FREE ACCESS
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3m 28sIn this video, you will discuss how the four Vs should be balanced in order to implement a successful big data strategy. FREE ACCESS
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2m 58sUpon completion of this video, you will be able to describe various use cases of big data analytics and the four characteristics of big data. FREE ACCESS
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2m 17sAfter completing this video, you will be able to specify how the four Vs can be leveraged to extract value from big data. FREE ACCESS
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3m 14sUpon 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. FREE ACCESS
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
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