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Data science teams cannot create a model and “throw it over the fence” to another team. Everyone needs to work together to achieve value, from businessintelligence experts, data scientists, and process modelers to machine learning engineers, software engineers, business analysts, and end users.
A data pipeline is created with the focus of transferring data from a variety of sources into a data warehouse. Further processes or workflows can then easily utilize this data to create businessintelligence and analytics solutions. Operation ETL pipeline runs on schedule e.g. daily, weekly or monthly.
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