πJob Management
Your job management hub for creating, running, monitoring, and organizing all your data validation jobs.
Whether you're comparing datasets or checking data quality, everything starts here.
A Job is a configured task that defines what data to validate, how to validate it, and which rules apply. Create, execute, monitor, and archive jobs all in one place.
π Getting Started: Create a New Job
Choose the type of validation job that fits your needs:
Validate differences between two datasets
Perfect when you need to:
π Compare production vs. staging data
β Verify data migrations
π Check cross-system consistency
π Audit data synchronization
Use Cases:
Source β Target migration validation
Replication verification
Backup integrity checks
Multi-region consistency
Perform in-depth validations on a single data source
Ideal for:
ποΈ Schema validation
π Constraint checking
π Data profiling
β Quality rule enforcement
π§ͺ Custom logic validation
Use Cases:
Data quality checks
Schema compliance
Business rule validation
Data governance audits
πΎ Your Saved Jobs
Find all your job configurations in one convenient location. The Saved Jobs dashboard makes it easy to manage and rerun your validation workflows.
What You Can Do
π Browse & Organize
View your complete job library
Sort and filter by various criteria
Group by purpose or data source
Search for specific jobs
βΆοΈ Run Your Jobs
Choose how you want to execute:
Standard Run
Full validation with comprehensive checks
Complete audits
β‘ Quick Run
Fast execution for datasets under 500K records
Rapid testing
Quick Run is optimized for speed when you're working with smaller datasets or doing iterative testing during job development.
π οΈ Manage Your Jobs
βοΈ Edit β Update configurations as your needs change
π Clone β Copy an existing job as a template
ποΈ Delete β Remove jobs you no longer need
π Archive β Store completed jobs for reference

β‘ Quick Run: Fast Testing Mode
Need results faster? Quick Run is optimized for speed when working with smaller datasets or doing iterative testing.
When to Use Quick Run
Use Quick Run for:
π§ͺ Testing new configurations
π Working with datasets up to 500K records
π Need faster feedback during development
β±οΈ Running frequent validation checks
Execution Time Comparison:
< 100K records
5-10 min
1-2 min
100K - 500K records
10-30 min
2-5 min
> 500K records
30+ min
Not available
Quick Run Locations
You can access Quick Run from:
Starting a new job β Choose Quick Run mode
Saved Jobs list β Use the Quick Run button
Job history β Quick Run on previous configurations

Pro Tip: Use Quick Run to validate your job configuration with sample data before running a full-scale validation.
π Job History: Track Your Results
Review all your past job executions in one place. The Job History section gives you complete visibility into your validation activities.
Key Features
π Complete Audit Trail
Chronological record of every job execution
Timestamps and status for each run
User attribution and execution context
Performance metrics and resource usage
π Detailed Results
Click on any Completed job to view full validation results and findings.
Compare Reports:
π Smart Filtering
Quickly locate specific jobs using multiple filters:
-οΈ Status: Completed, Failed, Running, Pending
π Date Range: Filter by execution dates
π·οΈ Job Type: Compare or Evaluate
π€ Job Name: Search by name

π Job Status Reference
Pending
Job queued for execution
Wait or cancel
Running
Job currently executing
Monitor progress
Completed
Job finished successfully
View report
Failed
Job execution failed
Review errors
Paused
Job manually paused
Resume or cancel
π― Best Practices
Job Management Best Practices:
β Name jobs descriptively - Include source, target, and date
β Schedule regular runs - Automate validation workflows
β Monitor trends - Track data quality over time
β Archive old jobs - Keep dashboard organized
β Test with Quick Run - Before running full validation
β Review failed jobs - Address issues promptly
β Document rules - Maintain job configuration documentation
π Job Workflow
π Related Documentation
β FAQ
Q: How many jobs can I create? A: Unlimited jobs. Organize them using naming conventions and tags.
Q: Can I schedule jobs? A: Yes, schedule jobs to run automatically on specific dates and times.
Q: What's the difference between Compare and Evaluate? A: Compare validates two sources, Evaluate validates one source against rules.
Q: Can I edit a running job? A: No, but you can edit saved configurations before starting a new run.
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