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Google Cloud analytics
We build analytics platforms on Google Cloud, with BigQuery at the centre, pipelines that load reliably and costs that stay visible.
Projects, datasets, IAM and slot or on-demand pricing chosen deliberately.
Batch and streaming ingestion with Dataflow, Pub/Sub or third-party connectors.
dbt or Dataform models with tests and documentation.
Looker, Looker Studio or Power BI on top, and Vertex AI where models add value.
Step 1
We agree the decisions the data should support and the measures that matter.
Step 2
We profile your sources, note quality issues and confirm what is feasible.
Step 3
Pipelines, models and reports are delivered one subject area at a time.
Step 4
Documentation, access controls and training so your team can run and extend it.
Partitioning, clustering, query limits and monitoring dashboards together make costs predictable.
Yes. We usually build on your existing cloud, warehouse and BI licences, and recommend new tools only when there is a clear gap.
Share your goals and current setup. We will come back with questions, a suggested approach and the next steps.
Contact Raushang4 Technology