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794 B
8 lines
794 B
# Data Pipelines |
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Data pipelines are a series of automated processes that transport and transform data from various sources to a destination for analysis or storage. They typically involve steps like data extraction, cleaning, transformation, and loading (ETL) into databases, data lakes, or warehouses. Pipelines can handle batch or real-time data, ensuring that large-scale datasets are processed efficiently and consistently. They play a crucial role in ensuring data integrity and enabling businesses to derive insights from raw data for reporting, analytics, or machine learning. |
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Learn more from the following resources: |
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- [@article@What is a Data Pipeline? - IBM](https://www.ibm.com/topics/data-pipeline) |
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- [@video@What are Data Pipelines?](https://www.youtube.com/watch?v=oKixNpz6jNo) |