Visual pipeline builder
Map the path from source to destination visually so a data handover is easier to review.
Products
Rafid ETL
Make each data handover understandable.
Rafid ETL follows the record from extraction through transformation to its destination. Missing fields and duplicate values should have agreed outcomes rather than disappear in a processing job. Define the mapping, rejection and correction rules with the source and reporting teams, including the checks that confirm a completed transfer.
Moving data between systems requires visible checks and recovery steps.
Inside the workspace
Rafid ETL: a closer look
Explore how the product could bring its tools and working records into one view. Review the workflow design during your product walkthrough.
Features & client solutions
What this helps your team solve
Connect each capability to a day-to-day task and a practical result your team can evaluate.
Pre-built source connectors
Connect agreed source systems using repeatable extraction steps.
Data transformation & cleansing
Clean and transform fields before loading them so downstream reports receive consistent inputs.
Bring one example from your daily work. We can review the records involved, who owns each step and which integrations are needed before defining the implementation scope.
Discuss your workflowProduct fit
Rafid ETL for the way your team works
An ETL workspace manages extraction, transformation and loading with traceable runs, rejected records and scheduling. Teams need to know whether the latest dataset is complete before relying on it.
Areas to assess in a walkthrough
- Visual pipeline builder
- Pre-built source connectors
- Data transformation & cleansing
- Scheduled & real-time pipelines
- Pipeline monitoring & alerts
In practice
Rafid ETL: a practical example
Load a sample containing duplicates, missing fields and changed values. Review what is accepted, rejected or held for correction. Each transformation should have a reason the source and reporting owners can understand.
An illustrative scenario to discuss when planning your project.From records to decisions
How your team works with Rafid ETL
The people involved include data engineers, integration owners and data reviewers. Begin with a small, representative set of source fields, destination schemas, mapping rules and rejected-record handling, then identify the decision or action each role needs to complete. This helps shape a useful first release and avoids collecting information that nobody uses.
Agree the meaning before presenting the result.
Two teams can use the same label for different measures. Confirm the calculation, source, reporting period and refresh timing before building the view. Make it possible to explain a result and identify missing or delayed inputs, so a dashboard supports a decision instead of hiding the assumptions behind it.
Implementation approach01 02 03 04
From agreed scope to everyday use
Review the starting point
Identify the current sources of source fields, destination schemas, mapping rules and rejected-record handling. Check data quality, shared references and required fields before agreeing what will be migrated, connected or recreated.
Define roles and connections
Review the needs of data engineers, integration owners and data reviewers. Document permissions, required integrations, the authoritative system for each record and what happens when information cannot be exchanged.
Test an end-to-end case
Use safe sample data to rerun a failed load without duplication and explain which records were rejected. Agree expected results, review exceptions and record acceptance decisions before widening access.
Prepare the operational handover
Name the configuration owner, change decision-maker and support contact. Plan training and documentation around ordinary tasks, then review early use under the agreed support arrangement.
Practical details
Questions before getting started
What should we bring to the first walkthrough?
Prepare examples of source fields, destination schemas, mapping rules and rejected-record handling, with confidential details removed. Explain the step that takes the most effort or causes confusion, and identify who needs to review the result.
How do we decide whether it fits our work?
We define a scenario that lets your team rerun a failed load without duplication and explain which records were rejected. Compare the result with the current process and document requirements and gaps before approving the implementation scope.
Can it connect to our existing systems?
The required systems and data sources are reviewed first. The integration plan covers access, field mapping, transfer timing and responsibility for errors. The proposal identifies included connections and any custom work needed.
How are pricing and support agreed?
The proposal considers features, users or workload, the operating environment, integrations and migration. Training, operational ownership and the support arrangement are agreed alongside the implementation scope.