Data Ingestion
Data ingestion is the process of collecting, importing, and processing data for storage and analysis. It involves taking data from various sources and transforming it into a format that can be easily analyzed. The process of data ingestion includes data extraction, data transformation, and data loading. Data extraction involves retrieving data from various sources such as databases, APIs, and files. Data transformation involves cleaning, filtering, and structuring the data to make it usable for analysis. Data loading involves storing the transformed data into a data warehouse or data lake for further analysis. Data ingestion is a critical step in the data pipeline as it ensures that the data is accurate, complete, and consistent.
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