Introduction to Data Engineering on Google Cloud Training

Live Online & Classroom Enterprise Training

This course provides a foundational understanding of data engineering concepts using Google Cloud tools and services. Learners explore the data lifecycle, including ingestion, storage, processing, and analysis. The course introduces key GCP services like BigQuery, Cloud Storage, Dataflow, Pub/Sub, and Dataproc, offering hands-on insights into building scalable, secure, and efficient data pipelines. Ideal for aspiring data engineers, it equips you with the essential skills to start designing and managing data solutions on Google Cloud.

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What is Introduction to Data Engineering on Google Cloud Course about?

This course offers a comprehensive overview of the key concepts, tools, and best practices in data engineering using Google Cloud. It introduces learners to the end-to-end data lifecycle—from data ingestion and storage to processing and analysis. Through practical examples and hands-on labs, participants will learn how to use essential Google Cloud services such as BigQuery, Cloud Storage, Dataflow, Pub/Sub, and Dataproc. By the end of the course, learners will be equipped with the foundational knowledge needed to begin building reliable, scalable, and efficient data pipelines in the cloud.

What are the objectives of Introduction to Data Engineering on Google Cloud Course ?

Understand the role of a data engineer and the data engineering lifecycle on Google Cloud.
Identify and use key GCP services for data ingestion, storage, processing, and analysis.
Build and manage data pipelines using tools like Cloud Pub/Sub, Dataflow, and Dataproc.
Work with BigQuery to perform analytics on large-scale datasets.
Apply best practices for designing secure, scalable, and cost-effective data solutions.
Gain hands-on experience through practical labs and real-world use cases.

Who is Introduction to Data Engineering on Google Cloud Course for?

Aspiring Data Engineers looking to build foundational skills on Google Cloud.
Data Analysts and Developers who want to transition into data engineering roles.
Cloud Engineers and Architects aiming to understand GCP's data services.
IT Professionals seeking to design and manage data pipelines and workflows.
Anyone preparing for Google’s Data Engineer certification or planning data-driven projects in the cloud.

What are the prerequisites for Introduction to Data Engineering on Google Cloud Course?

Basic knowledge of SQL and data querying concepts
Familiarity with programming (preferably Python or Java)
An understanding of cloud computing fundamentals
Experience with databases or data warehousing (optional but helpful)
A Google Cloud account (for hands-on labs and exercises)

Available Training Modes

Live Online Training

8 Hours

Classroom Training

1 Days

Course Outline Expand All

Expand All

Introduction to Kubernetes & GKE

Setting Up GKE Environment

Deploying Your First App on GKE

Core Kubernetes Concepts in GKE

Monitoring & Logging

Hands-on Lab & Q&A

Who is the instructor for this training?

The trainer for this Introduction to Data Engineering on Google Cloud Training has extensive experience in this domain, including years of experience training & mentoring professionals.

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