GCP Data Architect
Master enterprise cloud data architecture on Google Cloud Platform (GCP) by learning to design, build, secure, and optimize scalable data solutions. This advanced course covers BigQuery, Cloud Storage, Dataflow, Dataproc, real-time analytics, governance, and cloud security through practical projects and real-world implementations.
Course Description
The GCP Data Architect course at Dhruv Technologies is an advanced-level training program designed for cloud professionals, data engineers, solution architects, and IT professionals who want to build modern enterprise data platforms on Google Cloud Platform.
This course focuses on designing cloud-native data architectures using GCP services for data ingestion, storage, transformation, processing, governance, analytics, and visualization. Learners will gain practical experience in building scalable data lakes, cloud data warehouses, batch and streaming pipelines, and enterprise analytics platforms using Google Cloud services.
Through industry-focused case studies, hands-on labs, and enterprise-level projects, participants will learn Google Cloud architecture best practices, cloud security, IAM, monitoring, disaster recovery, performance optimization, and cost management. By the end of the course, learners will be capable of designing and implementing high-performance cloud data architectures for enterprise analytics and business intelligence.
Trainer
K
Kavya Iyer
Mobile & Cloud Trainer
9 years experience
Kavya delivers mobile and cloud training with real deployment workflows and app store publishing guidance.
Technologies Covered
Google Cloud Storage (GCS)
BigQuery
Cloud Dataflow
Cloud Dataproc
Pub/Sub
Bigtable
Cloud SQL
Cloud Spanner
Looker
Vertex AI
Cloud Composer
Data Fusion
Cloud Functions
Identity & Access Management (IAM)
Cloud Monitoring
Dataplex
Apache Spark on GCP
Projects
- Enterprise Data Lake on GCP
- BigQuery Data Warehouse Solution
- Cloud Dataflow ETL Pipeline
- Real-Time Streaming Analytics
- GCP Cloud Data Migration
- Enterprise Data Governance Solution
- Dataproc Big Data Processing Platform
- End-to-End Cloud Data Integration
- Secure Enterprise Data Architecture
- Business Intelligence Dashboard with Looker
FAQ
Cloud Engineers, Data Engineers, Data Architects, Solution Architects, and IT professionals working with Google Cloud Platform.
Basic knowledge of SQL, databases, cloud computing, and ETL concepts is recommended.
Yes. The course includes practical labs, enterprise use cases, and industry-oriented projects.