Redbird AI automates the flow between your GCP data lake and Microsoft's BI platform. Stop manually downloading files from Cloud Storage buckets, reformatting data, and uploading to Power BI datasets. Let AI handle the sync, transformation, and refresh cycles so your dashboards always reflect the latest data.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Detect new CSV, Parquet, or JSON files uploaded to specific GCS buckets and automatically trigger Power BI dataset refreshes. Redbird validates schema compatibility, transforms nested structures into flat tables, and updates your reports without manual intervention.
Export Power BI reports as PDF or Excel on schedule and write them to designated GCS buckets with timestamp-based folder structures. Perfect for regulatory compliance, audit trails, and long-term record keeping in your data lake.
Pull GCS access logs and storage metrics from bucket lifecycle events and load them into Power BI datasets. Build executive dashboards tracking bucket usage, cost trends, and access patterns across teams and projects.
Write Power BI dataset refresh histories, query performance metrics, and user activity logs back to Cloud Storage as JSON. Create a unified metadata layer for governance, tracking which GCS files power which dashboards and how often they're accessed.
Monitor new data files in GCS buckets and validate against expected Power BI dataset schemas before attempting refresh. Send alerts to Slack or email when schema mismatches occur, preventing failed refreshes and broken dashboards.
Detect new date-partitioned folders in GCS buckets and trigger incremental Power BI dataset refreshes for only the changed partitions. Redbird maps GCS folder structures to Power BI incremental refresh policies, dramatically reducing refresh time for large datasets.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Google Cloud Storage 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 AI understands both Google Cloud Storage object structures and Power BI dataset schemas, so you can automate the entire pipeline from GCP data lake to interactive dashboards.
Redbird natively parses Parquet column types, nested JSON structures, and CSV headers from GCS objects, then maps them to Power BI table schemas and data types. The platform detects schema drift between bucket contents and dataset definitions, handles type conversions, and suggests transformations when mismatches occur. Whether you're working with BigQuery exports, machine learning outputs, or pipeline staging files, Redbird knows how to structure them for Power Query and DirectQuery consumption.
faster than building Cloud Functions + Power BI API scripts for each dataset sync
Redbird can pull from Google Cloud Storage 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 Google Cloud Storage 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 Google Cloud Storage into Power BI, or from Power BI back into Google Cloud Storage. 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 workflows from any Cloud Storage bucket event or Power BI dataset operation, and chain actions across both platforms automatically.
Trigger when any file or files matching a pattern are added to a specified GCS bucket or folder path.
Detect changes to object metadata, storage class transitions, or lifecycle policy actions on existing files.
Monitor total bucket storage usage and trigger when size crosses defined thresholds for cost management.
Retrieve and parse CSV, JSON, Parquet, or Avro files from GCS buckets for transformation or loading.
Upload files to specified GCS buckets with custom folder structures, naming conventions, and metadata tags.
Relocate files between buckets or folders, apply lifecycle policies, or change storage classes programmatically.
Trigger when a Power BI dataset finishes refreshing, whether successful or failed, to chain downstream actions.
Detect when a specific report or dashboard exceeds a defined number of views in a time period.
Capture refresh failures with error messages and row counts to diagnose data quality or connection issues.
Initiate on-demand refresh of specific Power BI datasets or incremental refresh for defined table partitions.
Modify dataset connection strings, query parameters, or credentials programmatically based on upstream changes.
Generate PDF, PowerPoint, or Excel exports of Power BI reports with specified filters and page selections.
Sync Google Cloud Storage and Power BI in minutes. Redbird AI handles the data pipeline so your team can focus on insights, not integration code.