HandsOn Data Engineering in Google Cloud Platform | Python

Hands-On Data Engineering in Google Cloud Platform | Python
MP4 | Video: AVC 1280×720 | Audio: AAC 44KHz 2ch | 5 hours 54 minutes | 32 lectures | 3.76 GB

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

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
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
Google Cloud Platform Console, Cloud SDK and Client Libraries
Data Storage/ Messaging
Google Cloud Storage, Google Pub/Sub
Databases
Cloud SQL, BigQuery, Bigtable
Data Processing
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
, so just sit back, relax and enjoy all the demos!
Let’s get onboard on the cloud journey now!