Data Pipeline Runs

Talend executes the jobs that move and reshape data between your sources and targets. A Beam agent watches pipeline runs, reads their completion status and row counts, and reruns jobs that failed on transient errors according to your recovery rule. It updates a run log and alerts the data team of what it retried. Runs that fail on a schema change, load far fewer rows than expected, or touch a governed dataset are escalated to a data engineer, who investigates before the affected data is trusted downstream by any report.

Data Quality Checks

Talend can apply quality rules that profile and validate data as it flows. A Beam agent reads the results of these checks after a run, compares them against your thresholds, and clears batches that pass so they continue to their destination. It records the outcome and notifies the owner of any warnings. Batches with too many rejected rows, or where a critical field falls outside its expected range, are quarantined and handed to a steward, who decides whether to correct, reload, or reject the data.

Metadata and Schema Sync

Talend keeps metadata describing the structure of the datasets it processes. A Beam agent reads schema definitions when a source changes, compares them to the recorded version, and updates downstream mappings that your team has approved for automatic adjustment. It logs the change and notifies affected owners. A structural change that drops a column, alters a key, or affects a regulated field is paused and sent to a data architect, so no mapping updates silently in a way that could corrupt a report or break a dependent job.