What is the correct order of the stages in the data pipeline?

The correct order of the stages in the data pipeline is: Ingestion, Transformation, Storage, Analysis.

1. Ingestion: This is the stage where data is collected from various sources and brought into the data pipeline. This can involve data streaming or batch processing techniques.
2. Transformation: Once data has been collected, it needs to be transformed into a format that can be processed and analyzed. This can include cleaning, normalization, and structuring the data.
3. Storage: After transformation, data needs to be stored in a way that makes it accessible for analysis. This can involve a variety of storage options such as data warehouses, data lakes, or cloud storage.
4. Analysis: The final stage of the data pipeline involves the use of tools and techniques to analyze the data and extract insights from it. This can include visualization tools, machine learning algorithms, or statistical analysis.