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Questions and Answers
What is the difference between data and information?
What is the difference between data and information?
- Data is plain facts, while information is processed data (correct)
- Data is stored, while information is processed
- Data is unstructured, while information is structured
- Data is processed, while information is plain facts.
What is big data?
What is big data?
- A collection of data that is processed efficiently.
- A collection of small-sized data
- A collection of data that is huge in size (correct)
- A collection of data that is structured
What is the challenge with traditional data management tools and big data?
What is the challenge with traditional data management tools and big data?
- They are designed specifically for big data
- They are not compatible with big data
- They are too expensive to use with big data
- They are unable to store or process big data efficiently. (correct)
What are some benefits of big data?
What are some benefits of big data?
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Which of the following is an example of big data?
Which of the following is an example of big data?
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What are the three types of big data?
What are the three types of big data?
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What is structured data?
What is structured data?
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Study Notes
- Data are plain facts, while information is processed data.
- Big data refers to a collection of data that is huge in size.
- Traditional data management tools are unable to store or process big data efficiently.
- Big data can bring about cost reductions, time improvements, or new product offerings.
- Examples of big data include stock exchanges, social media sites, and jet engines.
- Big data can be structured, unstructured, or semi-structured.
- Structured data can be stored, accessed, and processed in a fixed format.
- Big data presents challenges in storage and processing due to its massive size.
- Data stored in a relational database management system is an example of structured data.
- Big data burst upon the scene in the first decade of the 21st century, with online and startup firms like Google, eBay, LinkedIn, and Facebook leading the way.
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