18 Questions
What is the primary reason big data requires new techniques, algorithms, and analytics?
Due to the diversity and complexity of the data
What is the main reason behind the importance of big data?
What an organization does with the data
What is the estimated amount of data that exists in the digital universe today?
2.7 Zetabytes
What is the approximate amount of user-generated data stored, accessed, and analyzed by Facebook?
30+ Petabytes
What is the estimated amount of data generated daily by Twitter?
7 Terabytes
What percentage of today's stored data was generated in the last two years?
90%
Which of the following is a characteristic of big data?
All of the above
What is the main idea behind 'Viability' in big data characteristics?
Selecting attributes that are likely to predict outcomes
What is the main idea behind 'Value' in big data characteristics?
Analyzing data to find business value
What is the primary driver of the increase in availability of data sources?
Proliferation of mobile phones
What is the key benefit of big data?
The ability to generate insights that drive business value
What is the characteristic of big data that refers to carefully selecting attributes that predict outcomes?
Viability
What is the main challenge of managing big data?
Analyzing diverse and complex data
What is the primary reason behind the need to analyze real-time data?
To gain a competitive advantage
What is the common theme among the sources of big data?
They are all from different data types
What is the implication of having 90% of today's stored data generated in the last two years?
Data is being generated at an exponential rate
What is the key difference between big data and traditional data?
Big data requires new techniques and algorithms
What is the main benefit of Walmart's ability to handle over 1 million customer transactions per hour?
Competitive advantage through data analysis
Test your understanding of the basics of big data, including its definition, the three V's, and the reasons behind its importance. Learn about the increasing storage capacities, processing power, and data sources that drive the need for big data analytics.
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