How do Data Engineers approach data integration from multiple sources?
The question is about Data Engineering .
Data Engineers integrate data from various sources by creating ETL pipelines that collect, clean, and standardise it into a single format. They may use tools like Apache NiFi, Talend, or custom programming to automate extraction, cleaning, and transformation processes. They map, remove duplicates, and normalise data, and use APIs or cloud platforms to combine both structured and unstructured data for straightforward analysis.
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Vladyslav is a Senior Data Engineer focused on building data pipelines and infrastructure for AI-driven products. Started as a Python developer, he moved deeper into data engineering through hands-on work with ETL/ELT systems... Read More
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