GCP Data Engineer Training | GCP Data Engineering Training

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Introduction to Google Cloud Data Engineering
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What is Data Engineering?

• Role of a Data Engineer
• Key responsibilities
• Building data pipelines
• Managing data storage and processing
• Enabling analytics and ML
• Importance in modern data-driven organizations

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Why Google Cloud for Data Engineering?

• Scalable, secure, and serverless architecture
• Integrated AI/ML and analytics tools
• Global infrastructure and reliability
• Popular services BigQuery, Dataflow, Pub/Sub

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Key GCP Services for Data Engineering

• BigQuery Serverless data warehouse for analytics
• Cloud Dataflow Stream/batch data processing
• Cloud Pub/Sub Messaging for real-time ingestion
• Cloud Storage Scalable data lake solution
• Cloud Composer Orchestration with Apache Airflow

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Common Data Engineering Workflow on GCP

• Ingest data (e.g., Pub/Sub, Data Transfer)
• Store data (e.g., Cloud Storage, BigQuery)
• Process data (e.g., Dataflow, Dataproc)
• Orchestrate pipelines (e.g., Cloud Composer)
• Analyze visualize (e.g., Looker, BigQuery)

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Real-World Use Cases

• Building real-time dashboards for business
  insights
• Data lakehouse architecture for scalable
  analytics
• ETL pipelines for machine learning model training
• IoT data processing and analytics in real time

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Skills Tools for GCP Data Engineers

• SQL, Python, Apache Beam
• Cloud SDK Terraform (for deployments)
• GCP Console Cloud Shell
• Understanding IAM, networking security on GCP
• Certifications Professional Data Engineer (GCP)

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Next Steps Learning Resources

• Get started with hands-on labs on Qwiklabs
• Explore Google Cloud Skill Boosts and Coursera
  courses
• Join the free demo session on April 12, 2025 at
  830 AM IST
• Questions? Contact email/phone

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Contact

• GCP Data Engineer
• Address- Flat no 205, 2nd Floor,
• Nilgiri Block, Aditya Enclave,
• Ameerpet, Hyderabad-1 
• Ph. No 91-7032290546 
• Visit www.visualpath.in 
• E-Mail online_at_visualpath.in

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• THANK YOU Visit
  www.visualpath.in

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