DataOps best practices
Optimize your data engineering workflows with proven best practices for the Ascend platform. These guides cover everything from platform productivity to data plane optimization, helping you build reliable, scalable, and maintainable data pipelines.
Before you begin
- Familiarize yourself with DataOps concepts
- Understand your organization's data governance requirements
- Review your current data architecture and identify optimization opportunities
Platform best practices
🔍 BigQuery
Optimize cost, performance, and resource management for BigQuery data planes with proven strategies.
❄️ Snowflake
Manage Snowflake accounts, warehouses, and resource isolation across environments.
🧱 Databricks
Configure Unity Catalog, manage compute resources, and optimize Databricks workspace organization.
⚡ Power User Tips
Master the Ascend platform with productivity shortcuts, advanced editing, and workflow optimization techniques.
Next steps
After implementing best practices:
- 🔄 Set up Automations to enforce consistent workflows
- 🧪 Implement data testing for quality assurance
- 📊 Monitor your pipelines with proper observability