Coalesce

Introduction

Coalesce is a data transformation platform designed to streamline and automate the ELT (Extract, Load, Transform) workflow. It provides a highly scalable and flexible environment for managing data transformations, allowing businesses to efficiently structure, optimize, and govern their data pipelines. Built specifically for cloud data warehouses, Coalesce.io accelerates transformation processes while ensuring consistency and reliability.

Key aspects of Coalesce.io’s transformation process include:

• Column-Aware Architecture: Coalesce.io automatically tracks column-level lineage, enabling precise impact analysis, data governance, and easier schema evolution without disrupting workflows.
• Template-Driven Development: Users can define, reuse, and modify transformation templates to standardize processes, reduce redundancy, and enhance development efficiency.
• Automated Data Transformation: Coalesce.io leverages SQL-based transformations, allowing users to create, schedule, and execute transformations efficiently while integrating seamlessly with modern cloud data warehouses like Snowflake.
• Version Control & Governance: With built-in Git integration, users can track changes, collaborate effectively, and ensure compliance with data governance policies.
• Scalability & Performance Optimization: The platform is designed to optimize transformations by leveraging push-down computation, ensuring data processing happens directly within the warehouse for maximum performance.

Coalesce.io bridges the gap between code-driven flexibility and no-code usability, empowering data teams to standardize, accelerate, and automate transformation workflows with minimal friction. Its combination of automation, governance, and reusability makes it a powerful solution for modern data engineering teams.

Connecting to Coalesce

You can find instructions on how to connect to Coalesce in this article.

What's imported

Imported metadata

Dataedo imports objects from the Workspace, including the following items:

Nodes as Graph Nodes in Dataedo. In lineage, the Node acts as a processor, connecting the objects in Snowflake

Precise matching is handled by Linked Source (more about linked sources here). Every Source object should have an assigned Linked Source, which can be verified in the Metadata and Settings tab.

Each Linked Source should be mapped to the correct documented database. The matching process is automated, but if the program does not recognize the source, you can manually select the appropriate documentation.

Supported Dataedo features

*NA - not applicable

Automatic Data lineage

You can find information about automatic data lineage in this article.

Known limitations

Dataedo do not parse scripts or other transformations in this connector. Dataedo does not import jobs.