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What is a Pipeline?
A Pipeline moves your data from a Source to a Destination.
A Pipeline has the following components:
Source: A Source is a database, an API endpoint or a File Storage which has the data that you want to analyze. Hevo integrates with a variety of Sources. Read Sources .
Transformations: Transformations are used when you want to clean, enrich or transform your data before loading it to your Destination. Read Transformations .
Schema Mapper: Schema Mapper lets you map you source schemas to tables in your Destination warehouse. Read Schema Mapper.
Destination: Destination is a data warehouse or database where the data collected from Sources is stored. Read Destinations.
- Articles in this section
- Familiarizing with the Pipelines UI
- Pipeline Concepts
- Pipeline Modes
- Types of Data Synchronization
- Pipeline Objects
- Data Ingestion
- Handling of Updates
- Data Loss Prevention
- Parsing Nested JSON Fields in Events
- Table and Column Name Compression
- Hevo-generated Metadata
- Working with Pipelines
- Creating a Pipeline
- Best Practices for Creating Database Pipelines
- Scheduling a Pipeline
- Modifying a Pipeline
- Prioritizing a Pipeline
- Pausing and Deleting a Pipeline
- Viewing Pipeline Progress
- Log-based Pipelines
- Python Code-Based Transformations
- Drag and Drop Transformations
- Transformation Reference
- Schema Mapper
- Using Schema Mapper
- Mapping Statuses
- Auto Mapping Event Types
- Mapping a Source Event Type with a Destination Table
- Mapping a Source Event Type Field with a Destination Table Column
- Schema Mapper Actions
- Fixing Unmapped Fields
- Resolving Incompatible Schema Mappings
- Resizing String Columns in the Destination
- Schema Mapper Compatibility Table