Data Pipelines Pocket Reference: Moving and Processing Data for Analytics by James Densmore

Data Pipelines Pocket Reference: Moving and Processing Data for Analytics

James Densmore

261 pages • missing pub info (editions)

nonfiction business computer science science informative reflective medium-paced
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Description

Data pipelines are the foundation for success in data analytics and machine learning. Moving data from many diverse sources and processing it to provide context is the difference between having data and actually gaining value from it. This pocket ...

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