7 Questions
What is the difference between data and information?
Data is plain facts, while information is processed data
What is big data?
A collection of data that is huge in size
What is the challenge with traditional data management tools and big data?
They are unable to store or process big data efficiently.
What are some benefits of big data?
Cost reductions, time improvements, and new product offerings.
Which of the following is an example of big data?
A stock exchange
What are the three types of big data?
Structured, unstructured, and semi-structured
What is structured data?
Data that is stored, accessed, and processed in a fixed format.
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.
Do you know what big data is and how it differs from traditional data? This quiz will test your knowledge on the definitions and characteristics of big data, including its challenges and benefits. From structured to unstructured data, and examples of industries that use it, this quiz will help you understand the fundamentals of big data. Test your knowledge and see how much you know about this trending topic in the tech industry!
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