The process of making raw data ready for further processing and analysis is known as data preparation. The gathering, preparation, and labelling of raw data into a format appropriate for machine learning (ML) algorithms, followed by data exploration and visualisation, are crucial phases.
Process steps for preparing data
- Data gathering. Operational systems, data warehouses, data lakes, and other data sources are used to collect pertinent data
- Discovering and profiling data
- Data cleaning
- Data structuring
- Enhancement and transformation of data
- Validation and publication of data
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