What is asking specific questions to interpret Big Data called?answerData analyticsData extractionData miningData ethics

Step 1: Break Down the Problem

The question asks for a term that describes the act of asking specific questions to interpret Big Data. To answer this, we will analyze the choices provided.

Step 2: Relevant Concepts

Let's briefly define the terms presented in the options:

1. Data Analytics: This refers to the process of examining data sets to draw conclusions about the information they contain, often using specialized systems and software.
2. Data Extraction: This is the process of retrieving data from various sources for further processing.
3. Data Mining: This involves analyzing large datasets to discover patterns, correlations, or useful information, often through querying and evaluation.
4. Data Ethics: This pertains to the ethical considerations and implications involved in the management and use of data.

Step 3: Analysis and Detail

While all the terms relate to data, the focus of the question is specifically on the aspect of interpreting or extracting meaning from data by asking targeted questions.

• Data Analytics mostly deals with analyzing data after it has been collected.
• Data Extraction is primarily about retrieving data rather than making sense of it.
• Data Mining emphasizes discovering patterns and relationships through specific, targeted queries, so it aligns closely with the act of asking questions to extract insights.
• Data Ethics does not pertain to the process of analysis or extraction.

Step 4: Verify and Summarize

Based on the definitions and focus of the question, Data Mining is the most suitable choice because it embodies the process of exploring and analyzing large amounts of data to identify patterns, making it vital for interpreting Big Data through specific inquiries.

Final Answer

The act of asking specific questions to interpret Big Data is called Data Mining.