Big Data Analytics

What is big data?

• Large volumes of structured data

• Large volumes of unstructured data

• Large volumes of both structured and unstructured data

• Large volumes of semi-structured data

When did the concept of big data gain momentum?

• Early 1990s

• Early 2000s

• Late 2000s

• Late 2010s

What are the three V's of big data?

• Volume, Velocity, Variety

• Variability, Veracity, Velocity

• Volume, Veracity, Variety

• Variability, Velocity, Variety

What is the additional dimension of big data considered by SAS?

• Variability

• Veracity

• Velocity

• Volume

What is the importance of big data?

• To increase data storage capacity

• To improve operational efficiencies

• To reduce data processing time

• To enhance data visualization

What is the impact of big data on the world?

• It has no impact

• It has limited impact

• It is changing the way businesses use information

• It is causing data overload

Who are data heroes?

• Data scientists

• Data engineers

• Data officers

• All of the above

What is the difference between a data lake and a data warehouse?

• There is no difference

• A data lake is a new name for a data warehouse

• A data lake is used for structured data, while a data warehouse is used for unstructured data

• A data lake stores raw data, while a data warehouse stores processed data

What is the potential of big data in health care?

• Improved patient outcomes

• Reduced waste

• Individualized medical treatment

• All of the above

What are the key steps to taking charge of big data?

• Set a big data strategy, identify big data sources, analyze the data

• Access, manage and store big data, analyze the data, make intelligent decisions

• Set a big data strategy, identify big data sources, access, manage and store the data

• Analyze the data, make intelligent decisions, set a big data strategy