Data ingestion is the first stage in most data architecture designs. The process has two steps. First, it consumes data from assorted sources. Second, it loads data into centralized storage, which can be accessed and used by the organization. It is a critical component in the data engineering life cycle because downstream systems rely entirely on the ingestion layer's output.

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