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Data Pipeline<br>Data pipeline implies that the stored data is moved from one system to another through a set of processes such as data migration, duplication, and filtering. A data pipeline is an umbrella term used for moving data.<br><br>ETL<br>ETL is a type of data pipeline. It is more specific as it involves a set of processes to extract the data from a source such as a database, transform it into an intelligible format, and load it into another location such as the cloud.<br><br>https://www.xoriant.com/cloud-infrastructure-and-security/overview
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Is ETL And Data Pipeline Same?
While enterprises shift their workload to the cloud environment ETL and Data pipeline are used interchangeably to imply data movement.
Key Differences: ETL pipelines are a subset of data pipelines of data pipelines ETL pipelines are a subset Transformation is always involved in ETL pipelines involved in ETL pipelines Transformation is always ETL pipelines run in batches, whereas data pipelines run in real-time in real-time ETL pipelines run in batches, whereas data pipelines run
Benefits of ETL & Data Pipeline for Enterprises: Real-time Analysis Intelligent Decision Making Facilitates High-Frequency Data and Event Streaming
Discover how enterprises should leverage to improve business using ETL & Data Pipeline in our blog.
