July 21, 2025 | 9 AM – 5 PM (EST)
Introduction to Data Engineering on Google Cloud
Kickstart your data journey and learn how to design, build, and manage data processing systems on Google Cloud.
04
Days
08
Hours
52
Minutes
Date
July 21, 2025
Time
9 AM to 5 PM (EST)
Location
Online – Google Meet
Language
English
Level
Fundamentals
Speaker
Meet the cloud expert who will share his knowledge and expertise with you this morning.
Mark Kerzner
Why attend?
In today’s rapidly evolving tech landscape, understanding data engineering on Google Cloud is crucial for staying competitive.
This course provides foundational knowledge of Google Cloud’s data engineering capabilities, equipping you with practical skills to design, build, and manage data processing systems in the cloud. Learn from GCP-certified experts and gain insights to elevate your career in the data domain.
Key Takeaways
- Practical knowledge of building data pipelines and managing data workflows.
- Skills to navigate the data lifecycle from collection to analysis and ML integration.
- A digital badge to showcase your data engineering expertise. comprehensive overview of Google Cloud’s AI and ML offerings.
For Whom Is It?
This course is designed for aspiring data engineers, developers, analysts, and tech professionals who want to start working with data solutions on Google Cloud. It is perfect for anyone who is new to cloud-based data engineering.
Why should I follow this training?
Real-world skills
Learn practical, hands-on skills directly usable in real data engineering roles.
Cloud-native approach
Master tools built for the cloud from the platform that powers billions of users.
Career booster
Data engineering is one of the most in-demand roles across all industries today.
Program
The course includes presentations, demonstrations, and hands-on labs.
Module 1
Data Engineering Basics
Get introduced to the role of a data engineer and how data is managed, processed, and transformed in the cloud.
Module 2
BigQuery Fundamentals
Learn how to use BigQuery to analyze and query large-scale datasets using SQL-like syntax and optimized storage.
Module 3
Data Pipelines with Dataflow
Understand how to create efficient, autoscaling pipelines for data transformation and real-time stream processing.
Module 4
Streaming Data with Pub/Sub
Discover how to manage real-time data ingestion and processing using Google Cloud’s messaging service, Pub/Sub.
Module 5
Storage and Databases
Explore the use of Cloud Storage, Firestore, and other GCP services to store structured and unstructured data effectively.
Module 6
Intro to Machine Learning on GCP
Get a taste of integrating machine learning into your data workflows using tools like BigQuery ML and AutoML.
Reserve your spot
Reserve your spot and join this Free GCP Core Infrastructure Training via Google Meet.
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