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GCP Data Engineer Certification Training

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Reviews 4.9 (4.6k+)
Rated 4.7 out of 5

Learners : 1080

Duration :  25 Days

About Course

🌐 GCP Data Engineer Online Training

GCP Data Engineering focuses on designing, building, and managing scalable data pipelines and analytics solutions using Google Cloud Platform. It involves working with big data tools, data warehouses, and real-time processing systems to handle large volumes of data efficiently. Professionals skilled in GCP Data Engineering are in high demand for roles in data engineering, cloud analytics, and big data development.

This course provides in-depth, hands-on experience in building data pipelines, processing large datasets, and implementing real-time analytics using GCP services.

🚀 Its Core Capabilities Include:

Data Pipeline Development:
Build scalable ETL/ELT pipelines using cloud-native tools.
Big Data Processing:
Process large datasets using distributed systems.
Data Warehousing:
Work with BigQuery for analytics and reporting.
Real-Time Streaming:
Handle streaming data using Pub/Sub and Dataflow.
Data Storage:
Use Cloud Storage, Bigtable, and Datastore.
Workflow Automation:
Orchestrate pipelines using Cloud Composer (Airflow).
Security & Monitoring:
Implement IAM, logging, and monitoring.

📍 Bonus: Certification Tracks

  • GCP Data Engineer Associate Certification
  • GCP Data Engineer Developer Certification
  • GCP Data Engineer Application Developer Certification
  • GCP Data Engineer Expert Certification (Viswa Online Trainings)

GCP Data Engineer Training Course Syllabus

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GCP Data Engineer Course Key Features

Course completion certificate

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GCP Data Engineer Online Training FAQ'S

What is BigQuery in GCP?
  • BigQuery is a fully managed, serverless data warehouse that allows fast SQL queries on large datasets. It is widely used for analytics without managing infrastructure.
What is Dataflow?
  • Dataflow is a fully managed service for batch and real-time data processing using Apache Beam. It helps in building scalable data pipelines with minimal setup.

What is Pub/Sub?
  • Pub/Sub is a messaging service used for real-time event streaming between applications. It enables asynchronous communication and decouples data producers and consumers.
What is Cloud Composer?
  • Cloud Composer is a workflow orchestration tool based on Apache Airflow. It is used to schedule, monitor, and manage data pipelines in GCP.

What is the difference between Dataflow and Dataproc?
  • Dataflow is serverless and used for streaming/batch processing with auto-scaling. Dataproc is a managed Spark/Hadoop service where you manage clusters.

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