Will the data be standardized and unified before loading into the warehouse?

Yes, data is usually standardized and brought to a uniform format before loading into the data warehouse. This is necessary to ensure quality, consistency, and ease of subsequent analysis.

Standardization includes:

• Converting data formats to a single standard (e.g., dates in ISO 8601).
• Cleaning data from errors and duplicates.
• Normalizing values (e.g., scaling numerical features).
• Converting data types for compatibility with the warehouse.

This approach helps avoid issues with data heterogeneity, facilitates integration, and improves the quality of machine learning models that will use this data.

Example: before loading into the warehouse, data from different sources undergoes an ETL process, where it is transformed and standardized.