Hands-On Data Engineering in Google Cloud Platform | Python

Non-stop hands-on videos on serverless and self-managed technology stacks within GCP for aspiring data professionals!

4.15 (118 reviews)

Udemy

platform

English

language

Other

What you will 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.

Why take this course?

You are going to learn about how we can create data engineering solutions in Google Cloud Platform (GCP) using different available tools, mainly using Python as our core programming language. We will start from basic introduction of what each component is mainly used for, then dive straight into demos with detailed explanation on the design choice and reasonings behind. I am confident that you will come out of the course with a better understanding on what each component could possibly do and drive data engineering solutions in your team!

There are the list of tech stacks that we will be covering

Integrating with GCP
1. Google Cloud Platform Console, Cloud SDK and Client Libraries
Data Storage/ Messaging
1. Google Cloud Storage, Google Pub/Sub
Databases
1. Cloud SQL, BigQuery, Bigtable
Data Processing
1. Cloud Functions, Cloud Dataflow, Cloud Dataproc

I have created a few specialised labs to integrate all the tools mentioned above instead of telling you what each component could do! It could help to accelerate your understanding so you can apply on your existing GCP workflow immediately. Detailed code and steps will also be shared in the video as well as self-written articles, so just sit back, relax and enjoy all the demos!

Let's get onboard on the cloud journey now!

Screenshots

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Reviews

Mohamed

October 8, 2023

I love how the instructor uses a different VM to imitate the on-prem PCs. I liked the course overall. Instructor explains why a certain piece of code is used. Do not expect to learn coding here. You need to have some knowledge of Python. I don't have a big knowledge on PySpark or Dataflow but I was able to understand as the instructor explained.

Franc

October 3, 2023

Wonderful course. It's fast-paced and every process is explained in a logical way. The instructor is also quick to respond if you run into issues.

Khadija

September 12, 2023

I do not need to finish this course to say how it is amazing and professional, the instructor has a great experience in data engineering, thanks a million to him. I hope to see more courses on Udemy for him. Just my only problem is that he is talking very fast. All in all I am very happy I bought this course.

Abishek

September 7, 2023

So far, he has very less experience to create and explain the course. He is lacking enthusiasm and running through stuffs.

Ananda

April 5, 2023

Absolutely wonderful. I liked how he used Python scripts to drive data flow from source to target, instead of relying on the UI. It is important that data engineers learn to use a script-based solution which allows us to do versioning, collaboration, devops, ci/cd, etc. The course touched upon all the major components of GCP, especially the ones concerned with data engineering. Such as Cloud Storage, Pub/Sub, Dataflow, Dataproc, Cloud Functions, etc. On the database side BigQuery, Cloud SQL and BigTable were introduced. I would have loved to watch Firestore too, the NoSQL database similar to MongoDB. Overall, an amazing course. I can't settle for anything less than a 5-star. Thank you very much for packing so much useful information, making it interesting and lively.

Jana

October 3, 2022

Great course! I passed the GCP Cloud Digital Leader exam and wanted to get more hands-on experience with GCP services, so I purchased this course. I have learned a lot. I am also in the middle of GCP Professional Data Engineer course on Google Cloud Skills Boost for Partners.

Loo

December 21, 2021

Course is very clear and precise! Would definitely recommend it to anyone who has just started GCP or trying to learn it! Instructor also provides a very clear write up and instructions on his blog which is very helpful for learning and recap.

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