Data & Analytics on Google Cloud
Turn raw data into real-time, governed insight with BigQuery, Dataflow, and Looker.
Overview
Google Cloud's data platform — anchored by BigQuery — is built for scale, speed, and simplicity. We design modern data architectures that unify batch and streaming data, enforce governance, and put trusted insight in front of the people who need it, from analysts to executives to downstream AI models.
What We Offer
Data Platform Architecture
Modern data warehouse and lakehouse design on BigQuery and Cloud Storage.
Data Pipeline Engineering
Batch and real-time pipelines using Dataflow, Pub/Sub, and Cloud Composer.
Data Migration
Moving from legacy warehouses (Teradata, Oracle, on-prem Hadoop) to BigQuery using Google's Data Migration tools.
Data Governance & Quality
Cataloging, lineage, and access control using Dataplex.
Business Intelligence & Visualization
Dashboards and self-service analytics using Looker and Looker Studio.
Real-Time Analytics
Streaming architectures for operational and IoT analytics using Pub/Sub and Bigtable.