Requirements

• A strong eagerness to learn – curiosity and motivation are key as we dive into the exciting world of data engineering!

Description

Unlock the power of data engineering with Google Cloud Platform! This course is your comprehensive guide to becoming a proficient data engineer capable of building and managing large-scale data solutions on GCP. Designed for both beginners and experienced professionals, this course covers all essential skills needed to excel in data engineering roles.

What You’ll Learn

In this course, you'll dive into GCP’s suite of data tools and services, mastering skills in data processing, transformation, storage, and more. Topics include:

• Core Data Engineering Concepts: Get familiar with key data engineering principles, terminology, and the GCP ecosystem.

• Data Storage and Management: Explore Cloud Storage, BigQuery, and other GCP services to store and manage data efficiently.

• Data Pipelines: Learn how to design and implement both batch and real-time data pipelines using GCP services like Dataflow and Pub/Sub.

• SQL and Python for Data Engineering: Enhance your querying and scripting skills to handle data processing tasks on GCP.

• Security, Governance, and Cost Management: Implement best practices to ensure data security, governance, and cost-effective cloud solutions.

• Certification Preparation: Get tips and guidance to prepare for GCP Data Engineer certification exams, making you ready for advanced career opportunities.

• Access to full source Code: I’m providing full source code access for all projects and examples, giving you the resources to practice, explore, and customize further.

Who this course is for:

• Beginners who want a solid foundation in data engineering concepts and hands-on skills on Google Cloud.
• Data Analysts and Developers looking to transition into data engineering roles or expand their skill set.
• Cloud Engineers and IT Professionals aiming to specialize in data solutions using Google Cloud’s tools and services.
• Experienced Data Engineers wanting to deepen their knowledge of GCP’s data services for handling large-scale data systems and advanced analytics.