Document every Talend job: name, sources, targets, transformations, complexity level, frequency, dependencies, and special handling (error flows, restart logic). Export job metadata via Talend's UI or repository. Create a detailed spreadsheet with columns for each attribute.
⚠️ Watch Out For:
- Talend's repository can be large—use the Metadata Export feature to bulk extract
- Job dependencies may be implicit (jobs triggered by others)—trace these via scheduler logs
Sort jobs into categories: (1) Pure cloud ELT (strong Airbyte candidates), (2) Cloud ELT + light transformation (Airbyte + dbt), (3) Complex transformation (keep in Talend or refactor significantly). Document the classification rationale for each job.
⚠️ Watch Out For:
- Misclassifying complex jobs leads to rework—err on the side of conservatism
- Some jobs may have subtle business logic embedded in transformation logic—interview owners
Sketch the new architecture: cloud sources → Airbyte → warehouse → dbt for transformation. Map each Talend job to its new home (Airbyte connector, dbt model, or keep in Talend). Document data quality checks and error handling strategies for each.
⚠️ Watch Out For:
- Decomposing monolithic Talend jobs into Airbyte + dbt requires rethinking data responsibilities
- Error handling and retry logic may need to be rebuilt in Airbyte and orchestrators
Choose deployment (Airbyte Cloud vs. self-hosted). Deploy Airbyte (Cloud: sign up; self-hosted: docker run / kubectl apply). Set up PostgreSQL backend for self-hosted. Create workspace and user accounts. Configure destination connections for all target warehouses.
⚠️ Watch Out For:
- Self-hosted Airbyte requires Docker/Kubernetes expertise—budget significant time if new
- Network connectivity for self-hosted must allow access to all data sources and destinations
Select the simplest Talend job (single source, single target, minimal transformation). Create the equivalent Airbyte source connector. Configure table/stream selection, column filtering, and sync mode. Run a test sync. Compare outputs with the original Talend job.
⚠️ Watch Out For:
- Airbyte connectors vary in maturity—use stable, certified connectors when available
- Some sources require additional configuration (cursors, API scopes, rate limits)—read docs carefully
For jobs with light transformation, create dbt models that build on Airbyte-loaded tables. Rewrite Talend transformations as SQL in dbt. Set up dbt to run after Airbyte syncs (via webhook or orchestrator). Validate dbt output matches original Talend transformations.
⚠️ Watch Out For:
- Talend's visual transformations don't translate directly to dbt SQL—requires careful rewriting
- Complex business logic embedded in Talend jobs may not be obvious—interview owners
Configure Airbyte alerting (Slack, email, webhooks) for sync failures. Set up orchestration (Airflow/dbt Cloud) to manage Airbyte syncs and dbt runs. Configure retry logic for transient failures. Monitor Airbyte logs and performance metrics.
⚠️ Watch Out For:
- Airbyte's scheduler is local—for self-hosted, ensure it doesn't restart during critical syncs
- Orchestration complexity can grow if many Airbyte connectors depend on each other
Progressively migrate remaining Talend jobs to Airbyte (categories 1 and 2). Start with simple ones. For each, validate outputs match original job. Document any jobs that couldn't be migrated and why (keep in Talend, build custom solution, etc.).
⚠️ Watch Out For:
- Migration can plateau—early jobs are easy, later ones may have hidden complexity
- Some Talend-specific patterns (dynamic file processing, embedded Java) don't map to Airbyte
Keep both Talend and Airbyte pipelines running in parallel for 2-4 weeks. Compare record counts, data accuracy, and timing. Validate that downstream analytics and dashboards match expectations with Airbyte data.
⚠️ Watch Out For:
- Timing mismatches between Talend and Airbyte schedules complicate comparison—sync run times if possible
- Data quality issues surface during parallel runs—investigate and fix before cutover
Once Airbyte passes validation, disable Talend jobs. Keep Talend running for jobs not migrated. Archive Talend job definitions. Update documentation and team runbooks. Monitor Airbyte costs and optimize (column selection, sync frequency). Document lessons learned.
⚠️ Watch Out For:
- Talend deprovisioning can take time—coordinate with IT on license cancellation
- Team may still reference Talend documentation—proactively update wikis and runbooks
