December 2018
Beginner to intermediate
490 pages
10h 38m
English
Content preview from Data Analysis with Python
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Data pipeline blueprint
At a high level, data pipelines can be described using the following generic blueprint:
Data pipeline workflow
The main objective of a data pipeline is to operationalize (that is, provide direct business value) the data science analytics outcome in a scalable, repeatable process, and with a high degree of automation. Examples of analytics could be a recommendation engine to entice consumers to buy more products, for example, the Amazon recommended list, or a dashboard showing Key Performance Indicators (KPIs) that can help a CEO make future decisions for the company.
There are multiple persons involved in the building of a data ...
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