Udemy - Hands-On Data Engineering in Google Cloud Platform Python torrent

Hands-On Data Engineering in Google Cloud Platform | Python
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 30 lectures (5h 54m) | Size: 2.8 GB
Non-stop hands-on videos on serverless and self-managed technology stacks within GCP for aspiring data professionals!
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.

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 s in 1080p!

Description
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 s 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

https://CourseWikia.com