Lakeflow Framework

Contents:

  • Introduction
  • Getting Started
  • Concepts
  • Features
    • Auto Complete / Intellisense
    • Builder Parallelization
    • Change Data Capture (CDC)
    • Change Data Feed (CDF)
    • Data Quality - Expectations
    • Data Quality - Quarantine
    • Direct Publishing Mode
    • Liquid Clustering
    • Logging
    • Logical Environments
    • Materialized Views
    • Mandatory Table Properties
    • Multi-Source Streaming
    • Operational Metadata
    • Python Dependency Management
    • Python Extensions
    • Python Function Transforms
    • Schemas
    • Data Flow Specification Format
    • Secrets Management
    • Soft Deletes
    • Source Types
    • Spark Configuration
    • Substitutions
    • Table Migration
    • Target Types
    • Templates
    • Validation
    • Versioning - DataFlow Specs
    • Versioning - Framework
    • UI Integration
  • Deploy the Framework
  • The Samples
  • Build and Deploy Pipelines
  • Data Flow Spec Reference
  • Orchestration
  • Framework Development & Contributors
Lakeflow Framework
  • Framework Features
  • View page source

Framework Features

  • Auto Complete / Intellisense
  • Builder Parallelization
  • Change Data Capture (CDC)
  • Change Data Feed (CDF)
  • Data Quality - Expectations
  • Data Quality - Quarantine
  • Direct Publishing Mode
  • Liquid Clustering
  • Logging
  • Logical Environments
  • Materialized Views
  • Mandatory Table Properties
  • Multi-Source Streaming
  • Operational Metadata
  • Python Dependency Management
  • Python Extensions
  • Python Function Transforms
  • Schemas
  • Data Flow Specification Format
  • Secrets Management
  • Soft Deletes
  • Source Types
  • Spark Configuration
  • Substitutions
  • Table Migration
  • Target Types
  • Templates
  • Validation
  • Versioning - DataFlow Specs
  • Versioning - Framework
  • UI Integration
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