• Importance of scalable and reliable data pipelines
• Role of Google Cloud in enterprise data platforms
• Industry use cases and career opportunities
• Certification domains and exam overview
• Cloud-native and distributed systems
• High availability and scalability
• Enterprise data strategies
• Best practices
• Integration with enterprise and IoT systems
• Data validation and quality
• Streaming architectures
• Automation and orchestration
• Object storage and data lakes
• Structured and unstructured data
• Metadata and catalog
• Governance and lifecycle
• Performance optimization
• ETL and ELT pipelines
• Data cleansing and enrichment
• Workflow automation
• Performance tuning
• Query optimization
• Data marts and business analytics
• Performance and scalability
• Cost optimization
• Feature engineering
• Model deployment
• AI-driven insights
• Continuous improvement
• Data encryption and privacy
• Compliance and regulatory frameworks
• Risk management
• Governance best practices






















