💡 Concepts

Ascend's conceptual documentation. Ascend is the Agentic Data Engineering platform, with Otto as the primary agent. Effective use of AI starts with a solid engineering foundation. Ascend is a fully-featured data platform for ETL/ELT workloads and orchestration with familiar data engineering language:

• Data engineers work on an Ascend Project that is version-controlled in an Ascend Repository
• Data engineers develop Ascend Flows (data pipelines) for a Project in an Ascend Workspace
• Data engineers deploy that same Project to an Ascend Deployment for production use
• The development and deployment lifecycle in Ascend follows DataOps best practices
• Otto is your intelligent data engineering agent in Ascend, helping you every step of the way

Table of Contents (ToC)

• Agentic Data Engineering
  • Otto, your intelligent data engineering agent
• Infrastructure & security
  • Ascend Instance
  • Ascend Environment
  • Ascend Vault
  • Ascend Repository
• Ingest, extract, load, & manage data
  • Ascend Connection
  • Data Plane
• Building data pipelines
  • Ascend Workspace
  • Ascend Project
    • Context objects
    • Ascend Profile
    • Ascend parameters
    • Ascend Flow
    • Component
      • Read
      • Transform
      • Test
      • Task
      • Write
        • Write strategies
      • Python Transform input formats
      • Schema change strategies
    • Application
      • Ascend-native Applications
      • Custom Applications
• GitOps, deploying, and monitoring data pipelines
  • Ascend Deployment
• Automation & DataOps
  • Ascend Automation
  • DataOps in Ascend
• Additional platform capabilities
  • Intelligence Core
  • Flex Code
  • Smart capabilities
    • Smart schema
  • Ascend product releases
  • Where is my Python code run?