Google Cloud Storage

Using Google Cloud Storage in Infoveave

With the Google Cloud Storage connector, Infoveave integrates directly with your cloud buckets to streamline workflows. You can automate uploads of transformed datasets, store backups of processed information, and download source files for analytics. The connector is highly flexible, enabling both operational data handling and long-term archival needs. Users can easily schedule data exchanges or integrate them into complex workflows to achieve continuous availability of critical datasets for reporting and analysis.

Data ingestion through Google Cloud Storage involves downloading structured or unstructured files stored in buckets. Infoveave processes CSV, JSON, or other supported formats, parsing them into clean tables for further analysis. The connector handles large datasets efficiently, supporting automation of recurring file retrieval tasks. Once ingested, data can be modeled, transformed, and combined with other business sources to provide unified insights. This approach ensures consistent, reliable, and scalable ingestion across business operations.

The connector not only ingests but also synchronizes data back to Google Cloud Storage. Processed outputs, enriched datasets, or analytics-ready files can be pushed back into designated buckets, keeping external systems and teams updated with the latest intelligence. This two-way integration ensures your storage environment remains aligned with Infoveave workflows, eliminating manual file handling while enhancing governance, auditability, and collaboration across teams and systems.

• Automating the upload of processed data back to cloud storage buckets.
• Ingesting CSV or JSON files from Google Cloud for analytics and dashboards.
• Creating scheduled workflows to synchronize data between Infoveave and storage.
• Maintaining backups of curated datasets for compliance and archiving purposes.
• Building unified reporting by merging cloud-stored data with enterprise sources.
• Facilitating seamless collaboration by sharing synchronized outputs across teams.