Quick Start

This guide assumes you have an Zynvora organization and project. You will connect a source, author a pipeline, run a job, and verify monitoring.

1. Create a project

From Projects, create a workspace with environment tags (dev / staging / prod). Invite collaborators with Project Admin or Engineer roles.

2. Connect a data source

Open Data Sources and add Snowflake, BigQuery, Databricks, Kafka, S3, or Postgres. Secrets are stored in the vault — never in notebooks or pipeline YAML.

3. Author a pipeline

name: orders_daily
schedule: "0 6 * * *"
steps:
  - extract:
      source: warehouse.orders
  - transform:
      sql: |
        select order_id, amount, updated_at
        from staging.orders
        where updated_at >= current_date - 1
  - load:
      target: lakehouse.analytics.orders_daily

4. Run and observe

• Trigger a manual run from Jobs
• Open Monitoring for latency, freshness, and failure rates
• Zynvora Copilot Copilot to summarize anomalies for the last 24 hours