Finally, I just completed the sixth and final course of the Architecting with Google Cloud Platform Specialization delivered by Coursera!
Why did I spend time on this?
Because I believe cloud technologies have become a critical piece for analytics and many areas of marketing.
On my last post I shared some thoughts on some of the ways cloud technologies have helped me in particular. I also shared my perspectives on prioritizing some level of data democratization. There is also machine learning, overcoming sharing across geographies, easily setting up jobs to run code… I could go on.
What’s this Specialization about?
The Specialization consists on six courses covering key aspects of GCP, taught by Google engineers. You can browse the courses in the Coursera GCP Specialization page.
Having a bit of experience in AWS, and having had to study for the AWS Cloud Architect certification, made it easier to go through the basic concepts. Though I consider myself Google shop kind of person, I have to say, I’d be more comfortable with AWS for most things other than web analytics. It’s hard to explain why, but AWS seems a bit easier to navigate and understand.
I take out analytics on my last comment because of the trifecta of Google Analytics integration to BigQuery and BigQuery super-easy one-click integration with Data Studio. That is hard to beat if you like GA. And I like GA.
When I studied for AWS I subscribed to A Cloud Guru. These guys are awesome, but so far they don’t have comprehensive courses on GCP. If they release these, I’d strongly recommend to give them a chance.
Here’s my certificate from Coursera.
Will I be aiming for the GCP Architect Certification (the one from Google)?
Not at this time. I’ll be focusing on other priorities, you’ll see 🙂
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