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Mobile data collection refers to the technical process of using mobile devices such as smartphones and tablets to capture location trajectories, images, videos, audio, and operational logs in real time through built-in sensors (GPS, accelerometer, gyroscope, etc.), cameras, microphones, and user interaction behaviors (clicks, swipes, inputs, etc.). It offers advantages such as portability, real-time capability, and high coverage, breaking the limitations of traditional fixed-point collection.
2026-04-27 20:08:02
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Mobile data collection refers to the technical process of using mobile devices such as smartphones and tablets to capture location trajectories, images, videos, audio, and operational logs in real time through built-in sensors (GPS, accelerometer, gyroscope, etc.), cameras, microphones, and user interaction behaviors (clicks, swipes, inputs, etc.). It offers advantages such as portability, real-time capability, and high coverage, breaking the limitations of traditional fixed-point collection.
2026-04-24 20:03:03
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Data ingestion is the process of bringing raw data from various sources (such as business systems, databases, IoT devices, log files, etc.) into a data lake, either in batch or real-time mode. It supports the unified collection and transmission of structured, semi-structured, and unstructured data. As the first step in building a data lake platform, it provides foundational data support for subsequent data processing, analysis, and mining.
2026-04-22 19:49:27
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