Big Data and Data Engineering in GCP – A Complete Guide

Master the art of managing and processing massive datasets with Google Cloud Platform (GCP) in this comprehensive guide. Designed for aspiring and experienced data engineers, this course takes a deep dive into GCP’s robust big data tools and services, empowering you to build scalable, efficient, and cost-effective data pipelines and analytical solutions.
Through hands-on projects, real-world scenarios, and expert guidance, you’ll learn to harness GCP’s ecosystem to solve complex data challenges, enabling you to drive business value through data-driven decision-making.

What You’ll Learn

• Big Data Basics: Core concepts of big data and its role in modern analytics.
• Data Storage: Use Cloud Storage, BigQuery, and Bigtable for storing and managing large datasets.
• Data Integration: Build ETL pipelines using Dataflow, Dataprep, and Cloud Composer.
• Stream Processing: Process real-time data streams with Pub/Sub and Dataflow.
• Data Modeling: Design schemas and optimize databases for performance and scalability.
• Data Analytics: Analyze and visualize data with BigQuery, Data Studio, and Looker.
• Machine Learning Integration: Incorporate AI and ML into data workflows with BigQuery ML and Vertex AI.
• Cost and Performance Optimization: Learn best practices for efficient and budget-friendly big data solutions.
• Security & Compliance: Secure your data pipelines and ensure compliance with industry standards.

Course Highlights

• Hands-on labs and projects using real-world big data scenarios.
• Detailed walkthroughs of GCP’s big data services.
• Insights into industry-specific use cases, from retail analytics to IoT.
• Comprehensive preparation for GCP Data Engineer certification.

Who Should Enroll

• Aspiring and professional data engineers looking to specialize in GCP.
• Data analysts and scientists seeking to work with large-scale datasets.
• IT professionals and developers transitioning to big data roles.

Unlock the full potential of big data with Big Data and Data Engineering in GCP: A Complete Guide. Enroll now to become a leader in the data-driven era!

For Self Learning

Please click this link to enroll in a self-learning course on Udemy

To Enroll into Class Room Training

The next batch is starting soon.