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P
Perfect_Peter_John_
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COMPUTER SCIENCE
Information Technology
Data Processing
Digital data processing transformed raw numbers into powerful insights shaping modern life
5 days ago
0
What is a critical trade-off in data processing that affects the quality of the output?
The color scheme used in data visualization
The brand of hardware used for processing
The accuracy and quality of the input data
P
Physics_At_Sea
Physicist from London with special interest in Quantum Mechanics
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COMPUTER SCIENCE
Data Processing
Stream (computing)
Streams in computing enable real-time data processing by handling data elements sequentially over time
2 Feb 2026
0
What is a key advantage of stream processing over batch processing in computing?
It requires all data to be collected before any processing can begin.
It processes data only after the entire data set is stored permanently.
It allows data to be processed incrementally as it arrives, enabling real-time analysis.
S
Steeeve
Steeeve is an IT guru
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COMPUTER SCIENCE
Information Technology
Data Processing
Data processing transforms raw digital data into meaningful information for decision-making
27 Jan 2026
0
Which of the following best describes the primary purpose of data processing?
To convert raw data into meaningful information for analysis and decision-making
To store data permanently without any modification
To delete irrelevant data without any further use
J
Johnbarrow
John from Bartow
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COMPUTER SCIENCE
Data Management
Data Processing
Data processing transforms raw digital data into meaningful information across various fields
26 Jan 2026
0
Which of the following best describes the primary goal of data processing?
To store data without any modification
To convert raw data into meaningful information
To delete irrelevant data permanently
S
Steve_b
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COMPUTER SCIENCE
Data Processing
Knowledge Extraction
Data extraction tools transform raw data into machine-readable knowledge enabling advanced reasoning
20 Jan 2026
0
What distinguishes knowledge extraction from traditional information extraction or ETL processes?
It only focuses on converting data into relational database schemas without semantic understanding.
It extracts data solely from structured sources without handling unstructured data.
It produces machine-interpretable knowledge that supports inferencing beyond structured data transformation.
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