What are the basic steps in Data Preparation and Data Analysis?
The question is about Data Engineering .
The four main steps are: collecting data, correcting errors and gaps, transforming the data into the correct format, and analysing the data with statistics. These steps help ensure the data is accurate and reliable for proper use.
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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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