ڈیٹا ماڈلنگ میں ڈیٹا پائپ لائن کا بنیادی مقصد کیا ہے؟
A. To define data attributes and properties
B. To calculate summary statistics
C. To visualize data relationships
D. To prepare and transform data for analysis
Explanation
A data pipeline is a series of processes that extract data from multiple sources, transform the data into a standardized format, and load it into a target system for analysis.
The primary purpose of a data pipeline in data modeling is to prepare and transform data for analysis, making it possible to:
Extract data from various sources
Clean and preprocess the data
Transform the data into a format suitable for analysis
Load the data into a data warehouse or analytics platform
