What is Data Pipeline?
An automated series of steps that move and transform data from one or more sources to a destination system for storage, analysis, or further processing.
How It Works
Data pipelines are the plumbing of data-driven organizations. They extract data from source systems (databases, APIs, files), transform it (clean, validate, enrich, aggregate), and load it into destination systems (data warehouses, dashboards, other applications). Pipelines can run in real-time (streaming) or on a schedule (batch). Robust data pipelines include error handling, data quality checks, monitoring, and alerting to ensure reliable data delivery.
Key Benefits
- Automated, reliable data delivery
- Consistent data quality and format
- Real-time or scheduled processing options
- Scalable to growing data volumes
- Single source of truth for reporting
Common Use Cases
- ETL from operational databases to data warehouse
- Real-time analytics dashboard feeds
- Cross-platform data synchronization
- Automated report generation and distribution
Related Terms
Business Process Automation (BPA)
The strategic use of technology to automate complex business processes and functions beyond simple individual tasks.
API Integration
The process of connecting different software applications through their Application Programming Interfaces (APIs) to enable data exchange and coordinated functionality.
ETL (Extract, Transform, Load)
A data integration pattern that extracts data from source systems, transforms it into a suitable format, and loads it into a target system such as a data warehouse.
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