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Summary: The ETL process, which consists of dataextraction, transformation, and loading, is vital for effective data management. Following best practices and using suitable tools enhances dataintegrity and quality, supporting informed decision-making. ETL stands for Extract, Transform, Load. What is ETL?
A typical data pipeline involves the following steps or processes through which the data passes before being consumed by a downstream process, such as an ML model training process. DataIngestion : Involves raw data collection from origin and storage using architectures such as batch, streaming or event-driven.
By processing data closer to where it resides, SnapLogic promotes faster, more efficient operations that meet stringent regulatory requirements, ultimately delivering a superior experience for businesses relying on their dataintegration and management solutions. He currently is working on Generative AI for dataintegration.
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