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

A data lake is more useful than a data warehouse.

A data warehouse is always larger than a data lake.

A data lake is meant for operational processes, while a data warehouse is for analytical processes.

A data warehouse is more cleaned and transformed than a data lake.

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True or false: In order to perform any type of data analysis, the data should be cleaned or scrubbed to perfection.

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Which of the following is used to summarize key performance indicators at a given point in time?

Operational database

Analytical database

Cluster

Dashboard

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A data warehouse may include data from which of the following sources?

Operational $($or transactional$)$ database

Web scraping

Third$-$party database for sale by subscription

Company email

All of these except company email

All of these

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Which type of analysis is used for common financial measures?

Time$-$series analysis

Association detection

Recommendation analysis

Clustering

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Which type of analysis is used to separate cases into groups of related records?

Key influencer analysis

Detect categories $($or clustering$)$

Association detection

Time$-$series analysis

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True or false: When compared to descriptive analyses, predictive analyses are typically more difficult to obtain, but also more useful for making intelligent business decisions.

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What type of predictive analysis would involve identifying previously unpurchased products and suggesting them to consumers $($e$.$g$.,$ Amazon$)?$

Dashboards

Recommendation analysis

Key influencer analysis

Artificial intelligence

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The Netflix Prize case demonstrates which of the following principles? Pick one, though there may be more than one correct option. You will get credit for any correct selection.

The power of crowdsourced data science competitions

The limitations of groupthink

The incompetence of the Netflix data scientists

There are ways of sharing data that can be of great value to everyone

None of the above are principles demonstrated by the Netflix case