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In data science, the term data pipeline is used to describe the journey that data takes from the moment it is generated. The expression evokes the image of water flowing freely through a pipe, and while it’s a useful metaphor, it’s deceptively simple.
What is data pipeline automation? What is the difference between data orchestration and ETL? Learn what you need to know about data pipeline automation.
A data pipeline that automates the workflow of data ingestion, preparation, and management and shares data securely with other entities makes the onslaught of data manageable. With the Red Hat product portfolio, companies can build data pipelines for hybrid cloud deployments that automate data processing on ingest.
A data pipeline is a series of actions that combine data from multiple sources for analysis or visualization.
Learn about data pipelines, their benefits, process, architecture, and tools to build your own pipelines. Includes use cases and data pipeline examples.
Can you update a running data pipeline? Find out to make data pipeline automation easy and effortless for your whole team.