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.
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 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.