Redbird AI automates the pipeline between your S3 data lake and Power BI dashboards. Stop manually downloading CSVs, transforming file formats, and rebuilding datasets — let AI handle the ETL from storage to visualization automatically.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Monitor S3 buckets for new data exports from your pipeline. When files arrive, Redbird validates the schema, transforms the format if needed, and triggers a dataset refresh in Power BI so your dashboards stay current without manual intervention.
Convert JSON or nested data structures from S3 into flattened tables Power BI can consume. Redbird handles schema mapping and data type conversion, then pushes clean datasets to Power BI on a schedule or when source files update.
Pull together partitioned or incremental files scattered across S3 prefixes. Redbird merges them into a single coherent dataset, handles deduplication and append logic, then loads the unified data into Power BI for comprehensive reporting.
Export Power BI dataset versions to S3 on a schedule for audit trails and historical analysis. Redbird captures the data state, converts it to efficient storage formats like Parquet, and organizes files in S3 with versioned paths for long-term retention.
Run quality checks on S3 files before they hit Power BI. If schema mismatches, missing columns, or data anomalies are detected, Redbird pauses the sync and notifies your team through Slack or email before bad data breaks dashboards.
Extract specific slices or aggregated views from Power BI datasets and write them to S3 as CSV or JSON. Perfect for feeding curated analytics outputs back into machine learning pipelines or sharing filtered data with external partners via S3 presigned URLs.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Amazon S3 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 S3 file structures and Power BI's dataset requirements — no custom scripts or middleware layers required.
Redbird automatically detects file formats in S3 (CSV, JSON, Parquet, delimited text) and infers column types, relationships, and data patterns. It then maps these to Power BI's table model, handling type conversions, date parsing, and nested field flattening. The AI learns from your S3 naming conventions and folder structures to route data to the right Power BI datasets. When schema changes happen upstream in S3, Redbird detects them and prompts you before breaking existing reports.
faster than building custom ETL scripts between S3 and Power BI
Redbird can pull from Amazon S3 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 Amazon S3 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 Amazon S3 into Power BI, or from Power BI back into Amazon S3. 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 S3 bucket event or Power BI dataset activity — Redbird connects both systems in real time.
Fires when any file or a file matching specific patterns is added to an S3 bucket or prefix path.
Triggers when an existing S3 object is overwritten or updated with new content.
Runs on a schedule to check for new or changed files in specified S3 paths, ideal for batch processing.
Writes files or datasets to a specified S3 bucket and prefix with configurable format and naming.
Relocates S3 objects across buckets or prefixes, useful for organizing pipeline stages or archiving.
Removes S3 objects based on age, name pattern, or metadata tags to manage storage costs and compliance.
Fires when a Power BI dataset finishes refreshing, whether successful or failed, to trigger downstream actions.
Triggers when a new report is published to a workspace or an existing report is modified.
Detects when a Power BI dataset refresh fails, enabling immediate alerting or fallback data loading.
Initiates an on-demand refresh of a Power BI dataset to pull the latest data from connected sources.
Inserts real-time data into a Power BI streaming or push dataset for live dashboard updates.
Extracts data from a Power BI dataset or specific report visual into CSV or JSON format for external use.
Stop building ETL pipelines between S3 and Power BI by hand. Redbird AI automates the entire flow from cloud storage to live dashboards — set it up once and let your data sync itself.