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!

Created by: Chenming Yong
Professional Cloud Engineer

What Will I 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 demos in 1080p!

Target audience

• 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.