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The choice of tooling and infrastructure will depend on factors such as the organization’s size, budget, and industry as well as the types and use cases of the data. Data Pipeline vs ETL An ETL (Extract, Transform, and Load) system is a specific type of data pipeline that transforms and moves data across systems in batches.
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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