Description
✅ What You Will Learn
📌 Module 1 – GCP Basics & Setup
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What is Data Engineering?
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Why Cloud? Traditional vs Cloud Computing
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Introduction to GCP & Free Tier Setup
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GCP Console, Cloud Shell, Cloud SDK, and Third-Party Tools
📌 Module 2 – Identity & Access Management (IAM)
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Understanding Identities, Roles, and Policies
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Resource Hierarchy & Service Accounts
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Role Creation, Assignment, and Best Practices
📌 Module 3 – Core Cloud Services
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Google Cloud Storage – Bucket Creation, Classes, Access Control
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Cloud SQL – Instance Setup, Workbench Integration, Migrations (Manual & Automated)
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BigQuery – Architecture, Table Creation, Queries, Optimization (Partitioning, Clustering)
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Case Study – Spotify Data Analysis
📌 Module 4 – Data Processing with GCP
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Dataproc – Hadoop & Spark Clusters, PySpark ETL Jobs, Transformations, End-to-End Batch Pipelines
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Dataflow – Apache Beam Pipelines, Transformations, Streaming & Batch Pipelines, Pub/Sub Integration
📌 Module 5 – Workflow Orchestration & Integration
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Composer (Airflow) – DAG Creation, Scheduling, Error Handling
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Data Fusion – No-Code/Low-Code Pipelines, Assignments
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Cloud Functions – Event-Driven Triggers (GCS, Pub/Sub)
📌 Module 6 – Infrastructure as Code
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Terraform – Actions, Lifecycle, Infrastructure Deployment, Dynamic Variables
📌 Module 7 – Final Preparation
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Resume Building & LinkedIn Optimization
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Interview Strategies
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GCP Data Engineer Certification Guidance
👤 Who Is This Course For?
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Aspiring Cloud Data Engineers
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Data professionals transitioning to Google Cloud Platform
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Developers building data pipelines and analytics solutions
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Students preparing for GCP Data Engineer certification
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