Automate the flow between your data orchestration platform and business intelligence dashboards. Stop manually tracking pipeline runs in spreadsheets, checking DAG statuses to refresh reports, or rebuilding datasets when ETL jobs complete. Let Redbird sync Airflow pipeline metadata, execution logs, and orchestration metrics directly into Power BI for real-time operational visibility.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Trigger dataset refreshes in Power BI the moment critical ETL pipelines finish in Airflow. Ensure dashboards always reflect the latest transformed data without manual intervention or scheduled delays. Keep business users working with current metrics as soon as source data is ready.
Send DAG runtime statistics, success rates, and task durations from Airflow into Power BI datasets automatically. Build data engineering dashboards that show pipeline health, SLA compliance, and infrastructure utilization. Replace manual log parsing with real-time orchestration analytics.
Monitor Power BI refresh activity and trigger Airflow tasks when business-critical datasets fail repeatedly. Automatically kick off diagnostic DAGs, re-run upstream pipelines, or alert data engineering teams through existing Airflow notification channels. Close the loop between consumption and orchestration layers.
Capture task-level error messages, retry attempts, and failure patterns from Airflow and surface them in executive-facing Power BI reports. Give business leaders visibility into data quality issues and pipeline dependencies without requiring Airflow UI access. Translate technical orchestration events into business context.
Allow analysts to request historical data refreshes directly from Power BI dashboards that trigger parameterized Airflow workflows. Pass date ranges, entity filters, and processing flags from report filters into DAG runs. Eliminate Slack requests and manual DAG triggering for ad-hoc data needs.
Extract Power BI workspace activity, report views, and user engagement metrics and feed them into Airflow-managed data warehouse loads. Combine BI platform usage with data lineage and pipeline metadata for comprehensive analytics governance. Automate the ETL for your analytics about analytics.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Airflow and Power BI with OAuth or API credentials. Redbird never stores your data — it just passes through.
Tell Redbird what to do in plain language — no SQL, no code, no configuration files required.
Redbird shows you exactly what it will do before running anything. Approve the workflow, set a schedule, and switch it on.
Workflows run on your schedule or on triggers. Every run is logged. Adjust with natural language at any time.
Redbird understands both Airflow's workflow orchestration semantics and Power BI's dataset and refresh architecture, bridging operational data engineering with business intelligence consumption.
Redbird maps Airflow DAG structures, task dependencies, XCom variables, and execution contexts to Power BI semantic models, dataflows, and refresh schedules. The platform intelligently translates pipeline run states into dataset readiness triggers, understands DAG parameter passing for refresh filters, and recognizes which Airflow execution metadata belongs in operational vs. business dashboards. When DAG schemas evolve or new tasks are added, Redbird automatically adjusts what gets synced to Power BI without reconfiguring connections.
faster than building custom scripts to sync Airflow metadata with Power BI
Redbird can pull from Airflow and Power BI simultaneously, merge the results, and format a polished report — sent on a schedule or on demand.
Set conditions in natural language. Get notified in Slack or email the moment a threshold is crossed in either Airflow or Power BI.
SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.
Push data from Airflow into Power BI, or from Power BI back into Airflow. Resolve conflicts with configurable merge rules.
Every workflow run is logged — what ran, what changed, and why. Replay or revert any individual step at any time.
Start automations from any pipeline event in Airflow or any dataset activity in Power BI, then take action across both systems.
Fire when any DAG or specific pipeline finishes execution with success, failure, or custom end states.
Trigger when individual tasks within DAGs fail, including retry exhaustion and upstream failure scenarios.
Activate when DAGs or tasks breach defined service level agreements or time-based completion thresholds.
Start specific DAG executions with custom configuration, logical dates, and runtime parameters.
Write cross-communication values to share state between tasks or pass execution metadata to downstream processes.
Programmatically enable or disable DAG scheduling based on external events or data quality conditions.
Fire when scheduled or on-demand dataset refreshes finish, including incremental and full refresh operations.
Trigger when dataset refreshes encounter errors, timeout, or hit capacity limits in the Power BI service.
Activate when new reports are deployed to workspaces or existing reports receive updated content or visuals.
Initiate on-demand dataset refreshes for specific tables, partitions, or entire semantic models in workspaces.
Modify connection strings, filter values, or query parameters in published datasets before triggering refreshes.
Stream real-time data rows into Push API datasets for live dashboard updates and streaming analytics scenarios.
Connect Airflow and Power BI in minutes. Automate pipeline-to-dashboard workflows and give your team real-time visibility into data orchestration without custom integration code.