• Data engineers and analysts exploring GCP for data solutions.
• IT professionals interested in building scalable data workflows on GCP.
• Business leaders seeking to understand GCP analytics capabilities.

• Basic familiarity with data concepts and cloud computing is recommended. Knowledge of SQL is helpful but not required.

Course Outline:

Module 1: Introduction to GCP for Data Engineering and Analytics

• Overview of GCP’s Data Ecosystem
• Key Services: BigQuery, Dataflow, Cloud Storage, and Pub/Sub

Module 2: Data Storage and ETL Pipelines on GCP

• Storing and Managing Data with Cloud Storage
• Creating ETL Pipelines with Dataflow
• Hands-On: Building a Data Pipeline

Module 3: Analytics with BigQuery

• Introduction to BigQuery: Architecture and Features
• Querying and Analyzing Datasets
• Hands-On: Writing and Executing BigQuery SQL Queries

Module 4: Real-Time Data Processing with Pub/Sub

• Introduction to Pub/Sub for Streaming Data
• Designing Real-Time Data Workflows
• Hands-On: Processing Streaming Data

Module 5: Use Cases, Best Practices, and Wrap-Up

• Real-World Applications of GCP in Data Engineering
• Best Practices for Performance and Cost Optimization
• Q&A and Additional Resources

Training material provided: Yes (Digital format)