Google Cloud
Build scalable data and AI solutions with Google Cloud, BigQuery, and Gemini.
Google Cloud
Bring your data and AI together on Google Cloud
Disconnected data sources, growing workloads, and complex AI requirements can make it difficult to turn enterprise information into actionable insights. We help organizations design, implement, and optimize Google Cloud solutions for data engineering, analytics, and AI. From BigQuery and modern lakehouse architectures to Gemini-powered applications and agents, we build solutions aligned with your business needs.
- Analyze data with BigQuery and Looker
- Build open lakehouses with BigLake
- Create AI applications and agents with Gemini
Our capabilities
What we build on Google Cloud
Cloud Architecture & Foundations
Design secure, scalable Google Cloud environments with networking, identity management, infrastructure automation, and governance.
BigQuery & Data Analytics
Build modern data warehouses, analytics-ready datasets, and scalable reporting solutions using BigQuery and Looker.
Data Engineering & Dataflow
Develop batch and streaming pipelines using Dataflow, Pub/Sub, and managed data integration services.
Data Lakes & Open Lakehouse
Build data lake and lakehouse architectures using Cloud Storage, BigLake, and open table formats for flexible analytics and AI workloads.
Vertex AI, Gemini & AI Agents
Develop generative AI applications, RAG solutions, and intelligent agents using Gemini, Vertex AI, and Google Cloud’s agent development services.
Dataplex & Data Governance
Implement data discovery, metadata management, quality controls, lineage, and governance across enterprise data environments.
Why Ambidex
Why choose Ambidex for Google Cloud
Data engineering and AI expertise
We combine cloud architecture, data engineering, analytics, and AI development to deliver integrated Google Cloud solutions.
Governance built into the foundation
We incorporate data quality, access controls, and governance practices to support secure and reliable data operations.
Performance and cost optimization
We design and optimize Google Cloud workloads with attention to query efficiency, scalability, and ongoing infrastructure costs.
SERVICES
Services we deliver on Google Cloud
FAQ
Frequently asked questions
What Google Cloud services does Ambidex provide?
We provide Google Cloud architecture, data engineering, BigQuery implementation, data integration, analytics, generative AI application development, governance, and cost optimization. Our focus is building secure, scalable Data and AI solutions.
Can you migrate our existing data warehouse or data pipelines to BigQuery?
Yes. We help organizations migrate data warehouses, databases, and existing data pipelines to BigQuery and related Google Cloud services. Our approach includes assessment, target architecture design, migration, testing, and validation.
How can Gemini and Vertex AI support enterprise AI applications?
Gemini provides foundation models for generative AI, while Vertex AI offers capabilities for building, deploying, and managing AI applications. We use these technologies to develop enterprise AI assistants, RAG applications, document processing solutions, and intelligent agents connected to business data.
What is the difference between BigQuery and BigLake?
BigQuery is Google Cloud’s analytics platform for processing and analyzing data at scale. BigLake extends governance and data access capabilities across lakehouse storage and open data formats. We help determine the appropriate architecture based on your analytics, interoperability, and governance requirements.
How do you manage security, governance, and costs on Google Cloud?
We implement appropriate identity and access controls, encryption, data governance, and monitoring practices. We also evaluate query performance, processing workloads, storage, and resource utilization to identify opportunities to improve efficiency and manage cloud spending.
Get started
Talk to us
Connect with an Ambidex expert to discuss how to plan, build and run your cloud, data, and AI solutions.