Data pipelines are processes that extract, convert, and load data from one system to another.
Data pipelines provide brands with a consistent, automated approach of transporting data across multiple systems. They help brands properly collect, clean, process and manage data. Building accurate data pipelines ensures the data infrastructure is built appropriately.
To accurately build the data infrastructure, use an extract, transform and load (ETL) tool to automate the process of extracting, processing and loading data. Use data integration platforms to link systems and move data across them. Brands can manage the data processing steps and track the pipeline via workflow management.
Check the logs, test and compare pipelines to troubleshoot problems within the pipelines using a visibility tool. It can further help brands test and compare data pipelines to identify problems before they occur.
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