Tag Index

Tag: Data Platform

Platform-level data system design and operations.

• Designing Multi-Tenant dbt Models Without Forking Everything

  A practical pattern for keeping shared dbt transformation logic centralized while allowing tenant-specific extensions without full project forks or long-term model drift.

• Stabilizing a Data Pipeline Migration Under Changing Conditions

  How validation throughput, scoped reruns, failure handling, metadata semantics, and observability shaped a production pipeline migration.

• Inspecting Legacy SQL Before Migration

  Using parsing and dependency mapping to make legacy SQL easier to review before Databricks migration.

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