GCP Data Engineering Training – Master Big Data on Google Cloud!

Data Engineering Training with GCP

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GCP Data Engineering Course Details

Course Overview

Google Cloud Platform (GCP) is one of the leading cloud providers for big data and analytics. Our GCP Data Engineering Training program is designed to help you master the tools and technologies needed to design, build, and manage data pipelines on GCP. Whether you’re an aspiring data engineer or an experienced professional, this course will equip you with the skills to excel in the world of cloud-based data engineering.

What You’ll Learn

  1. Introduction to GCP
    • Understand the core components of Google Cloud Platform.
    • Learn about GCP’s data engineering services and their use cases.
  2. Big Data Tools on GCP
    • Master BigQuery for fast, scalable data analytics.
    • Learn to use Cloud Dataflow for stream and batch data processing.
    • Explore Cloud Pub/Sub for real-time messaging and event-driven systems.
  3. Data Storage and Management
    • Work with Cloud Storage for scalable object storage.
    • Use Cloud SQL and Cloud Spanner for relational databases.
    • Learn about Bigtable for NoSQL data storage.
  4. Data Pipeline Development
    • Design and build ETL (Extract, Transform, Load) pipelines using Cloud Dataflow and Apache Beam.
    • Orchestrate workflows with Cloud Composer (managed Apache Airflow).
  5. Machine Learning Integration
    • Learn to integrate AI Platform and BigQuery ML for machine learning workflows.
    • Build predictive models and analyze data using GCP’s ML tools.
  6. Data Governance and Security
    • Implement data governance policies using Data Catalog and Data Loss Prevention (DLP).
    • Ensure compliance with regulations like GDPR and CCPA.
  7. Real-World Projects
    • Build end-to-end data pipelines for real-world use cases.
    • Work on projects like log analysis, recommendation systems, and real-time data processing.

Why Choose Our GCP Data Engineering Course?

  1. Hands-On Learning: Gain practical experience with real-world projects and case studies.
  2. Expert Trainers: Learn from certified GCP professionals with industry experience.
  3. Certification Support: Prepare for the Google Cloud Professional Data Engineer certification.
  4. Job Placement Assistance: Get help with resume building, interview prep, and job placement.
  5. Flexible Learning Options: Choose from online, in-person, or self-paced learning modes.

Who Should Enroll?

  • Aspiring data engineers looking to specialize in GCP.
  • Data analysts and scientists aiming to expand their technical skills.
  • IT professionals transitioning into cloud-based data engineering roles.
  • Software developers interested in building data-intensive applications on GCP.

Career Opportunities

  • GCP Data Engineer
  • Cloud Data Engineer
  • Big Data Engineer
  • Data Architect
  • ETL Developer
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