Features A–Z

Alphabetical index of all feature pages. Prefer the Features hub when browsing by category; use this list when you already know the name.

• Auto Complete / IntelliSense — VS Code IntelliSense for data flow specs

• Builder Parallelization — parallelize pipeline bundle builds

• Change Data Capture (CDC) — apply CDC merges via the data flow spec

• Change Data Feed (CDF) — consume Delta change data feed

• Data Flow Specification Format — JSON / YAML spec language and structure

• Data Quality - Expectations — SDP expectations in the spec

• Data Quality - Quarantine — quarantine failed records

• Framework configuration — global framework config layout

• Liquid Clustering — liquid clustering on target tables

• Logging — framework and pipeline logging

• Logical Environments — logical env at deploy time

• Mandatory Table Properties — required Delta table properties

• Materialized Views — materialized views as targets

• Multi-Source Streaming — multiple flows into one target

• Operational Metadata — operational columns and metadata

• Python Code, Libraries & Init Scripts — ship Python with the bundle

• Python Dependency Management — pipeline environment packages

• Python Function Transforms — Python transform functions

• Python Source — Python as a source type

• Schema Management — schema files, formats, and spec references

• Schema-related Databricks Features — constraints, generated columns, column masks, and SQL data types

• Secrets Management — wire secrets into specs and deployments

• Soft Deletes — soft-delete handling for CDC-style loads

• Spark Configuration — Spark conf via the framework

• SQL Source — SQL as a source type

• Substitutions — token substitution in specs

• Supported Source Types — sources the framework supports

• Supported Target Types — targets the framework supports

• Table Migration — migrate existing tables into LFF

• Target Catalog and Schema — default SDP publishing to Unity Catalog

• Templates — reusable data flow templates

• UI Integration — Databricks UI integration points

• Validation — validate specs before deploy

• Versioning - DataFlow Specs — version and map data flow specs

• Versioning - Framework — framework versioning and upgrades