Challenges in Managing Big Data

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10 Questions

What concept is represented by the data landscape in Fig. 2.1?

Data scale

Which type of data collections cover only a small portion of the data landscape?

Cancer registry data

What does the large amount of missing values in real world clinical data indicate?

Data quality issues

Which 'V' associated with big data is related to a vast volume of data being produced?

Volume

What does the missing dots in the data landscape represent?

'Missing' values

Which type of data usually collects more information than cancer registries but with respect to a selected and limited patient population?

Clinical trial data

What is a characteristic of real-world clinical data mentioned in the text?

'Missing' features

Which aspect of big data refers to the presence of various sources contributing to the data?

'Variety'

'Data volume has been increasing so rapidly, even beyond that capability of humans.' What aspect of big data does this statement emphasize?

'Volume'

What does the statement 'Data represents an almost unexplored source of potential information' suggest about the current state of data analysis?

The potential of data analysis is largely untapped.

Explore the major challenges in managing big data, such as storing, retrieving, aligning data types, and handling unstructured data growth. Learn about the complexities arising from the interaction between variety and volume of data.

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