A series of data processing steps where the output of one process is the input to the next, crucial in machine learning operations for efficient data flow from the data source to the end application.

• Business Intelligence
• Data Analytics
• Big Data Processing
• Marketing Analytics
• Financial Modeling
• Predictive Maintenance
• Healthcare Informatics

For instance, a data pipeline for a machine learning model might include the following stages: data ingestion, data cleaning, feature engineering, model training, and deployment. Each stage would take the output of the previous stage as input, allowing for efficient and seamless data flow throughout the process.

• Current state of data in your organization