# Why Big Data and Where Did it Come From?
1. **Which of the following is an example of big data utilized in action today?**
* Wi-Fi Networks
* Individual, Unconnected Hospital Databases
* Social Media
* The Internet
2. **What reasoning was given for the following: why is the "data storage to price ratio" relevant to big data?**
* Lower prices mean larger storage becomes easier to access for everyone, creating bigger amounts of data for client-facing services to work with.
* Companies can't afford to own, maintain, and spend the energy to support large data storage unless the cost is sufficiently low.
* Larger storage means easier accessibility to big data for every user because it allows users to download in bulk.
* It isn't, it was just an arbitrary example of big data usage.
3. **What is the best description of personalized marketing enabled by big data?**
* Being able to use personalized data from every single customer for personalized marketing needs.
* Marketing to each customer on an individual level and suiting to their needs.
* Being able to obtain and use customer information for groups of consumers and utilize them for marketing needs.
4. **Of the following, which are some examples of personalized marketing related to big data?**
* Google ordering ads to show items based on recent and past search results.
* A survey that asks your age and markets to you a specific brand.
* News outlets gathering information from the internet in order to report them to the public.
5. **What is the workflow for working with big data?**
* Theory -> Models -> Precise Advice
* Extrapolation -> Understanding -> Reproducing
* Big Data -> Better Models -> Higher Precision
6. **Which is the most compelling reason why mobile advertising is related to big data?**
* Mobile advertising benefits from data integration with location which requires big data.
* Mobile advertising allows massive cellular/mobile texting to a wide audience, thus providing large amounts of data.
* Since almost everyone owns a cell/mobile phone, the mobile advertising market is large and thus requires big data to contain all the information.
* Mobile advertising in and of itself is always associated with big data.
7. **What are the three types of diverse data sources?**
* Information Networks, Map Data, and People
* Machine Data, Organizational Data, and People
* Machine Data, Map Data, and Social Media
* Sensor Data, Organizational Data, and Social Media
8. **What is an example of machine data?**
* Sorted data from Amazon regarding customer info.
* Weather station sensor output.
* Social Media
9. **What is an example of organizational data?**
* Social Media
* Disease data from Center for Disease Control.
* Satellite Data
10. **Of the three data sources, which is the hardest to implement and streamline into a model?**
* People
* Organizational Data
* Machine Data
11. **Which of the following summarizes the process of using data streams?**
* Integration -> Personalization -> Precision
* Big Data -> Better Models -> Higher Precision
* Theory -> Models -> Precise Advice
* Extrapolation -> Understanding -> Reproducing
12. **Where does the real value of big data often come from?**
* Combining streams of data and analyzing them for new insights.
* Size of the data.
* Having data-enabled decisions and actions from the insights of new data.
* Using the three major data sources: Machines, People, and Organizations.
13. **What does it mean for a device to be "smart"?**
* Must have a way to interact with the user.
* Having a specific processing speed in order to keep up with the demands of data processing.
* Connect with other devices and have knowledge of the environment.
14. **What does the term "in situ" mean in the context of big data?**
* In the situation
* Accelerometers.
* The sensors used in airplanes to measure altitude.
* Bringing the computation to the location of the data.
15. **Which of the following are reasons mentioned for why data generated by people are hard to process?** Choose all that apply.
* Skilled people to analyze the data are hard to come by.
* The velocity of the data is very high.
* They cannot be modeled and stored.
* Very unstructured data.
16. **What is the purpose of retrieval and storage; pre-processing; and analysis in order to convert multiple data sources into valuable data?**
* Designed to work like the ETL process.
* To enable ETL methods.
* To allow scalable analytical solutions to big data.
* Since the multi-layered process is built into the Neo4j database connection.
17. **Which of the following are benefits of organization-generated data?** Choose all that apply.
* Higher Sales
* Improved Safety
* High Velocity
* Customer Satisfaction
* Better Profit Margins
18. **What are data silos and why are they bad?**
* Data produced from an organization that is spread out. Bad because it creates unsynchronized and invisible data.
* A giant centralized database to house all the data production within an organization. Bad because it hinders opportunity for data generation.
* Highly unstructured data. Bad because it does not provide meaningful results for organizations.
* A giant centralized database to house all the data produces within an organization. Bad because it is hard to maintain as highly structured data.
19. **Which of the following are benefits of data integration?** Choose all that apply.
* Reduce data complexity.
* Adds value to big data.
* Monitoring of data.
* Unify your data system.
* Increase data availability.
* Increase data collaboration.
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