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An ETLdata pipeline extracts rawdata from a source system, transforms it into a structure that can be processed by a target system, and loads the transformed data into the target, usually a database or data warehouse While the terms “data pipeline” and ETL are often used interchangeably, there are some key differences between the two.
Data Pipelines Data lakes continue to get new names in the same year, and it becomes imperative for data engineers to supplement their skills with data pipelines that help them work comprehensively with real-time streams, daily occurrence rawdata, and data warehouse queries.
Now that we have understood how much significant role data plays, it opens the way to a set of more questions like How do we acquire or extract rawdata from the source? How do we transform this data to get valuable insights from it? Where do we finally store or load the transformed data?
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