Decision tree for classifying migration blockers as configuration (15 min fix) vs code refactor (2-3 hrs). Use when diagnosing pipeline execution failures to determine the fastest resolution path. 73% of ETL-to-DPC blockers are configuration, not code.
How to identify and prioritize framework-level blockers that unblock 5-30 workloads with a single fix. Use when multiple workloads share the same error pattern or when planning fix order for maximum ROI.
Use when driving an imported area through the migration lifecycle — validate (PLAN), test (ACT + four-gate verdict), optimise, and sign-off — against the METL baseline.
Use when migrating Bash Script components to DPC. Bash scripts migrate automatically via the Script Pushdown component on the Shared Script Runner; manual refactoring (or bring-your-own-VM Bash Pushdown) is the exception.
Escalation decision tree and blocker categorization for migration failures. Classifies blockers by priority, assigns ownership, and provides resolution playbooks for each category.
Detect and remediate partial grid variable definitions in Create Table components during Matillion ETL to DPC migration. Expands partial column-definition grids to full schema.
Pre-execution audit of all hardcoded credentials, passwords, and secret references across migrated pipelines. Produces a structured inventory and migration plan for DPC Secret Manager.
Template and methodology for creating, tracking, and resolving customer action items during migration. Includes priority framework, ownership assignment, and status tracking.
Use when refactoring Databricks-specific components like Extract Nested Data, Filter quoting issues, or Text Output during Matillion ETL to DPC migration.
Component behaviour differences between METL and DPC — iterator ordering, Join/CALC drift, agent stability, Git integration, SQS gaps, and other known limitations.
DPC architecture dispatch tax, component execution overhead, and optimisation strategies for METL to DPC migration. Covers the systemic performance gap, IF component slowness, CIS message limits, and data sampling timeouts.
Detect and remediate hardcoded credentials (passwords, usernames, connection strings) in migrated Matillion ETL pipelines. Identifies plaintext secrets that should be converted to DPC secret references or environment variables.
Pre-execution checklist for infrastructure dependencies — Snowflake schemas, control tables, network connectivity, IAM permissions, and external system access required before pipeline testing.
Oracle-specific gotchas, performance tuning, and migration patterns for Database Query components during Matillion ETL to DPC migration. Covers fetch size, large table handling, data integrity, authentication, and the strategic shift toward native Oracle components.
PostgreSQL connector gotchas, driver behaviour, JSONB handling, case-sensitivity, and METL internal DB upgrade guidance during Matillion ETL to DPC migration.
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