GCP Data Engineer Training in Hyderabad - Ameerpet - 2025.pptx

Elevate your cloud career with Visualpath’s GCP Data Engineer Training in Hyderabad. Our GCP Data Engineering Course in Ameerpet delivers practical skills to design, manage, and optimize data workflows on Google Cloud. With participants from India, USA, UK, Canada, Dubai, and Australia, this program equips you with job-ready expertise for global opportunities.
Visit: https://www.visualpath.in/gcp-data-engineer-online-training.html
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1. Introduction to G C P Data Pipelines Overview of Google Cloud Platform (GCP) Importance of data pipelines in modern enterprises Role of automation in data flow and processing Benefits of cloud-native data pipeline solutions [phone]

2. Why Choose Google Cloud for Data Pipelines? Scalable infrastructure for massive data workloads Pre-integrated tools for data storage and analytics Real-time and batch data processing capabilities Cost-effective, pay-as-you-go pricing model [phone]

3. Core Components of GCP Data Pipelines Cloud Storage for raw data ingestion BigQuery for data warehousing and analytics Cloud Pub/Sub for real-time messaging Dataflow for scalable stream and batch processing [phone]

4. Building a Data Pipeline in GCP Define data ingestion sources (APIs, IoT, databases) Choose real-time vs. batch processing approach Transform and clean data with Cloud Dataflow Load data into BigQuery for analytics and insights [phone]

5. Real-Time Data Processing with GCP Stream data using Cloud Pub/Sub Process events instantly with Dataflow streaming Apply transformations on-the-fly Enable real-time dashboards and alerts [phone]

6. Batch Data Processing with GCP Ingest large datasets into Cloud Storage Run scheduled transformations with Dataflow Store processed data in BigQuery Use Looker Studio for BI and visualization [phone]

7. Security and Governance in Data Pipelines Identity and Access Management (IAM) controls Data encryption at rest and in transit Logging and monitoring with Cloud Logging Compliance with GDPR, HIPAA, and industry standards [phone]

8. Best Practices & Conclusion Automate workflows with Cloud Composer (Airflow) Monitor pipelines with Cloud Monitoring Optimize costs with smart resource allocation Future-proof pipelines with continuous learning [phone]

9. Azure DevOps Address :- Flat no: 205, 2nd Floor, Nilgiri Block, Aditya Enclave, Ameerpet , Hyderabad-1  Ph. No: [phone]   Visit: WWW.VISUALPATH.IN E-Mail: [email protected] Contact [phone]

10. THANK YOU Visit: www.visualpath.in [phone]