Terraform a Database for Financial Statements using Amazon Athena & Glue
Photo by Ahmer Kalam
Making money on Wall Street is the dream of every entrepreneurial teenager with a computer. If you’re new to Machine Learning, you might also think you are one of a lucky few that can apply your new found skills to print money to your bank account with the savvy application of LinearRegression().fit(X, y)
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Except there are far more than a few budding data geeks, and if it were that easy, I’d likely not be writing this article.
If you are near the beginning of this tragic comedy, don’t despair. How sweet would victory be if you haven’t seen a specialist about that carpal tunnel you thought your super powers would spare you from?
Well, if you’re that far along, welcome to a paragraph and a multi-threaded motif in my story.
Why am I still here? Because you’ve got grit, and like any good engineer you know that every day can feel like starting at the beginning of another long technical manual.
The Beginning — A Database in the Cloud
I thought it was cool when we could easily download and install a database on our desktops in a few clicks. Now, it doesn’t take a whole lot to create a massively scalable database in the cloud, spanning several continents & time zones.
In this article, we’re going to leverage a handful of today’s popular tech to quickly create a database using Amazon Web Services to store the Financial Statements we plan to use to create the world’s next best money pit…
Weapons fit for a God (Geek)
Athena
Glue
S3
Terraform
Yahoo Finance…