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In the context of designing a scalable and efficient data system for a machine learning project, during which phase is data typically collected and acquired from various sources, considering factors such as data volume, velocity, and variety? Choose the best option.
A
Data transformation, where data is converted into a suitable format for analysis.
B
Data modeling, which involves creating mathematical models based on the prepared data.
C
Data ingestion, the process of bringing raw data into the system from various sources.
D
Data pre-processing, which includes cleaning and preparing the data for analysis.