Say Goodbye to Legacy Friction — and Hello to Streamlined dbt Workflows
At EazyDI, we know how challenging it can be to migrate legacy ETL/ELT processes—especially from platforms like Talend. That’s why we’ve partnered with dbt and launched a powerful conversion feature that makes it easier than ever to transition your Talend jobs into modern, code-centric dbt workflows—in just a few clicks.
- Watch the full demo video here
Why This Matters
Many data teams today are seeking ways to modernize their data stacks. Talend, while powerful, often brings with it legacy constraints and high maintenance overhead. dbt, on the other hand, offers a streamlined, SQL-based, version-controlled approach to data transformation.
With EazyDI’s new feature, you can now automatically convert Talend jobs to dbt—saving countless hours of manual work and dramatically accelerating your migration timeline.
What You’ll See in the Demo
In this guided walkthrough, an EazyDI consultant demonstrates how the conversion works from end to end:
- How EazyDI parses and transforms Talend ETL/ELT logic
- How workflows are restructured into clean, dbt-ready models
- How metadata and logic integrity are preserved
- Where users can validate, edit, and fine-tune the migration
It’s a fast, efficient way to de-risk your migration while gaining the benefits of dbt’s modern data development paradigm.
Benefits of Migrating from Talend to dbt with EazyDI
- Accelerate Migration Timelines – Automate tedious Talend job rewrites
- Improve Transparency – dbt's modular structure makes transformations easy to audit and understand
- Empower Analysts – Let data teams use version-controlled SQL instead of black-box pipelines
- Lower Maintenance – Fewer custom scripts and more scalable transformation logic
- Modern Stack Ready – Seamlessly integrate with Snowflake, BigQuery, Redshift, and more
Ready to Modernize Your ETL Stack?
If you’re still relying on Talend, now is the perfect time to level up your data platform. With EazyDI’s Talend-to-dbt conversion feature, you can embrace a modern data stack without starting from scratch.