DataEtic Documentation

Workflows Overview

Automate your data processes with Workflows.

What are Workflows?

Workflows allow you to create automated data pipelines that orchestrate data movement, transformation, and processing across your connected sources. You can build complex data workflows without writing code using the visual workflow builder.

Key Features

Visual Workflow Builder

  • Drag-and-Drop - Build workflows visually with drag-and-drop components
  • Node Types - Sources, transformations, destinations, and logic nodes
  • Connections - Define data flow between nodes
  • Validation - Real-time workflow validation

Workflow Components

  • Source Nodes - Read data from databases, files, APIs
  • Transform Nodes - Filter, map, aggregate, join data
  • Destination Nodes - Write data to storage, databases, files
  • Logic Nodes - Conditions, loops, error handling

Scheduling

  • Manual Execution - Run workflows on demand
  • Scheduled Runs - Cron-based scheduling
  • Event Triggers - Start workflows based on events
  • Dependencies - Chain workflows together

Common Use Cases

Data Synchronization

Keep data in sync between databases, cloud storage, and applications.

ETL Jobs

Extract, transform, and load data from various sources into data warehouses.

Data Backup

Automate regular backups of critical data to secure storage.

Report Generation

Automatically generate and distribute reports on schedule.

Getting Started

  1. Navigate to Workflows from the sidebar
  2. Click "Create Workflow"
  3. Add source node to read data
  4. Add transformation nodes as needed
  5. Add destination node to output data
  6. Connect the nodes to define data flow
  7. Test and save your workflow
  8. Configure scheduling if needed

Best Practice

Start with simple workflows and gradually add complexity. Use the test feature to validate each step before running full workflows on production data.