Data Development and Engineering
and Engineering
Our Capabilities
Cloud Functions
Functions as a service (FaaS)
Build single-purpose functions to connect and extend cloud services without having to manage runtime environments or servers.
Cloud SQL
Managed relational database service
Be free of database administration tasks so that you can spend more time using databases.
BigQuery
Multicloud data warehouse
Create maximum value from your data via this AI-ready data analytics platform.
Pub/Sub
Real-time messaging service
Stream analytics as well as load and distribute data throughout data integration pipelines.
Cloud Run
Managed compute platform
Run code directly on top of Google’s scalable infrastructure. Deploy and scale apps fast and securely.
Cloud Storage
Managed storage service
Store any amount of unstructured data and retrieve it as many times as you want.
Dataflow
Managed streaming service
Go serverless for fast and cost-effective data streaming and batch data processing.
Workflows
Managed orchestration platform
Build solutions by integrating services. Automate line-of-business workflows that reliably execute without maintenance.
Cloud Composer
Data workflow orchestration service
Build a unified data environment by creating workflows that connect data, processing, and services across multicloud and hybrid environments.
Dataproc
Service for running open-source data tools
Leverage open-source data tools to build and train AI models five times faster at reduced cost.
Dataform
Data transformation management tool
Develop, version control, and deploy SQL pipelines in BigQuery.
Bigtable
Low-latency NoSQL database service
Enable fast access to structured, semi-structured, and unstructured data to scale latency-sensitive apps.
Key Outcomes and Benefits
Use a data-driven approach to business decision-making.
Everything in GCP is built to smoothen ETL processes so that enterprises can deploy their apps quickly.
Cloud services can easily be integrated across hybrid and multicloud environments, automated reliably, and extended.
Serverless architectures and reduced need for administration tasks makes deployments cost-efficient.