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Updated by henipo on Dec 30, 2022
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Know Best Data Engineering Practices To Follow

Below-curated links showcase the best practices of data engineering to make clean and re-usable data available to organizational needs in a reliable manner.

Data Engineering Best Practices To Ensure High Quality of Data & Maintainability of Code

This article covers the data engineering best practices which help to make clean and re-usable data like logging, streaming data, and more.

Best Practices for Data Engineering | by Christianlauer | Geek Culture | Medium

During my work in the field of data engineering and analytics, I have identified 5 best practices that are essential for stable data processes. Hopefully, these can also help you to safely and…

Data Engineering - Best Practices

Data engineering is the field of collecting data from heterogeneous sources and analyze them. Although there are many tools available in the market for collecting and analyzing data , including them in a data pipeline is itself a mammoth task.