Business & System Analyst Interview
Data Analysis Question(s) & Actual Evaluation
Please refer to the evaluation for more insight.
-
Classification: Business & System Analyst
-
Topic(s): Data Analysis
Can you explain the difference between structured and unstructured data?
Candidate's Answer:Okay like if we talk about structured and unstructured data then they are quite different like structured are called data which are in form of tables in form of rows and columns and we can easily handle it in a very formatted way on the other hand on structure data are those data we should not have any kind of table or which are not arranged in form of the table rose in columns these are which can also be called as which directly collected from the original data source and they are not instructed form so that is called
Evaluation:Your answer provides a basic understanding of the difference between structured and unstructured data, but it lacks depth and clarity.
Structured data refers to data that is organized in a predefined manner, typically in tables with rows and columns. This data is easily searchable, analyzable, and can be queried using traditional database tools. Examples of structured data include financial records, customer information, and sales reports.
On the other hand, unstructured data does not have a predefined format or organization. This type of data can include text documents, images, videos, social media posts, and emails. Unstructured data is more challenging to analyze and process compared to structured data due to its lack of organization and consistency.
To improve your answer, you could provide more specific examples of structured and unstructured data, discuss the challenges associated with analyzing unstructured data, and explain how businesses can derive insights from both types of data.
Overall, I would rate your answer 2.5/5 as it presents a basic understanding of the topic but lacks depth and specific examples.