ELI5: data pipeline
// explanation
What is a data pipeline?
A data pipeline is like a factory assembly line for information [1][2]. Just like a car factory moves raw materials through different stations to build a finished car, a data pipeline moves raw data through different steps to turn it into useful information [2][3].
Why do we need it?
Companies get data from lots of different places—like customer orders, website clicks, and store sales [3]. A data pipeline automatically collects all this messy data, cleans it up, and organizes it so people can understand it and make better decisions [2].
What happens to the data?
First, raw data comes in from many sources [2]. Then it gets cleaned and fixed (like removing mistakes), rearranged, and finally stored in a safe place like a giant filing cabinet called a data lake [2][4].
Why is this helpful?
Instead of people manually moving data around by hand (which is slow and error-prone), the pipeline does it automatically all the time [4]. This saves companies time and money, and makes sure everyone's working with the newest, most accurate information [3].
// sources
Oct 23, 2022 ... A data pipeline is a more generic term; it refers to any set of processing that moves data from one system to another and may or may not ...
A data pipeline is a method in which raw data is ingested from various data sources, transformed and then ported to a data store, such as a data lake or data ...
A data pipeline is a series of processing steps to prepare enterprise data for analysis. Organizations have a large volume of data from various sources.
AWS Data Pipeline is a web service that you can use to automate the movement and transformation of data.
Data Pipeline is a streamlined approach to efficiently move required education information from school districts to the Colorado Department of Education ...
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