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Uplyst connects operational data, business relationships and real time events to support decisions across your enterprise.

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Explore Uplyst integrations across business applications, data platforms, databases, event streams and industrial systems.

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Google Cloud Storage integration

Connect Google Cloud Storage files with enterprise records in Uplyst. Give stored datasets the business context needed for analysis and operational decisions.

Keep the source version connected to the result
Object identity
Bucket, name and generationA generation identifies a specific version of the object data.
Business identity
Entity, period and source systemThe context needed to relate a stored dataset to business activity.

Trace analysis back to its source

Source references help teams investigate changes, reconcile an updated dataset and understand which information informed a decision.

Connect Cloud Storage datasets to Uplyst

Google Cloud Storage organizes objects in buckets associated with a Google Cloud project. Uplyst connects approved datasets with its intelligence layer, relating stored records to business entities and activity from other systems.

The integration scope covers the buckets, object paths, file formats and reporting periods involved. This is useful for recurring exports, data lake datasets and files received from business partners.

Google Cloud IAM permissions

IAM controls which users, groups and service accounts can access Cloud Storage resources. A workload identity is granted the operations required for the agreed source data.

Bucket policies and the selected authentication method define the access available to the integration. Data location and retention settings remain part of the source environment.

Object generations and source history

A Cloud Storage generation identifies a specific version of an object's data. Together with the bucket and object name, it provides a precise source reference even when a later upload uses the same name.

Object Versioning can preserve earlier versions according to the bucket configuration. Source references help explain which dataset informed a business result or reconciliation.

Changes and event notifications

Cloud Storage integrates with Eventarc and Pub/Sub to notify downstream services about object changes. Notifications can support processing when new or updated files become available.

Repeated delivery and changes to the same object name need to be related to the underlying object generation. A new notification does not always represent new business data.

Object notification exampleOBJECT_FINALIZE
operations-exportsinventory/2026-09-26/stock.csv
Object receivedPub/Sub message 1075832014611201
Generation
1790409600123456
Receipt INV-0926-01Source identity recorded
Another notificationPub/Sub message 1075832014611358
Generation
1790409600123456
Same receiptSame bucket, name and generation
Replacement uploadedPub/Sub message 1075832099840012
Generation
1790411400789012
New data reviewCompare the revised inventory
Metadata has its own version.

A metageneration change from 1 to 2 updates metadata within the same generation. It does not identify a new version of the object data.

Operational reporting and reconciliation

Stored sales, inventory and financial data can be connected with operational records from other enterprise systems. Uplyst's business model helps teams compare results across sources and investigate the relationships behind a discrepancy.

Reporting periods and source versions support a clearer history of corrections, replacements and missing datasets.

Related integrations

BigQuery integrationAmazon S3 integrationAzure Blob Storage integration

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with Uplyst.

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