Udemy – Hands-On Data Engineering in Google Cloud Platform | Python 2024-1

Udemy – Hands-On Data Engineering in Google Cloud Platform | Python 2024-1 Downloadly IRSpace

Udemy – Hands-On Data Engineering in Google Cloud Platform | Python 2024-1
Udemy – Hands-On Data Engineering in Google Cloud Platform | Python 2024-1

Hands-On Data Engineering in Google Cloud Platform | Python, The “Hands-On Data Engineering in Google Cloud Platform | Python” course on Udemy offers a comprehensive, project-based learning experience for aspiring data engineers. It focuses on serverless and self-managed technologies within Google Cloud Platform (GCP), guiding learners through real-world implementations using tools like Cloud Storage, Pub/Sub, Cloud SQL, BigQuery, Bigtable, Cloud Functions, Dataflow, and Dataproc. The course emphasizes practical skills such as extracting and loading data, transforming it using various GCP services, and building end-to-end data engineering pipelines.

Designed for learners with basic Python, Docker, and Bash knowledge, the course provides detailed video tutorials and written guides to support beginners. It includes over 5 hours of content across 32 lectures, covering everything from setting up GCP environments to deploying scalable data workflows. Students are encouraged to use Google’s 90-day free trial to gain hands-on experience, and the course culminates in real-life demos that integrate multiple GCP tools into cohesive solutions.

What you’ll learn

  • Extract and load data from local machine to Cloud Storage and Pub/Sub.
  • Setup and use database such as Cloud SQL, BigQuery and Bigtable.
  • Transform data using Google Cloud Functions, Dataflow and Dataproc.
  • Implement real life end-to-end solutions by combining latest available tools in Google Cloud Platform.

Who this course is for

  • Python developers curious about quick overview and offerings of data engineering solutions in Google Cloud Platform.
  • Individuals who prefer step-by-step hands-on experience instead of dry knowledge classes.
  • Existing data engineers who are interested to migrate on-premise solutions to Google Cloud Platform.
  • People who just started to adopt Google Cloud Platform in their existing workflows and want to get a quick head-start on where to begin.

Specificatoin of Hands-On Data Engineering in Google Cloud Platform | Python

  • Publisher : Udemy
  • Teacher : Chenming Yong
  • Language : English
  • Level : All Levels
  • Number of Course : 32
  • Duration : 5 hours and 55 minutes

Content of Hands-On Data Engineering in Google Cloud Platform | Python

Hands-On Data Engineering in Google Cloud Platform _ Python

Requirements

  • Basic Python, docker and bash knowledge. Detailed steps will be provided in both video and self-written articles by author, so no worries if you are a totally beginner!
  • Sign up for 90-day $300 Google Cloud Free Trial – credit card/payment method required. Google won’t charge you unless you explicitly upgrade from your free trial to a paid account, so no worries!
  • Stable internet connection to watch all the non-stop live demos in 1080p!

Pictures

Hands-On Data Engineering in Google Cloud Platform _ Python

Sample Clip

Installation Guide

Extract the files and watch with your favorite player

Subtitle : English

Quality: 720

Download Links

Download Part 1 – 1 GB

Download Part 2 – 970 MB

File size

1.94 GB