Systems & Engineering/MIT Distributed Systems
·2 min read
Peek-a-boo with distributed systems - MapReduce
A series of blog posts that will document my learnings of MIT's distributed systems course. The first blog post explains MapReduce along with a working example
One of my sincere motivations to learn about distributed systems was when i began to realize that in the age of AI, there will eventually be a time when we have to start thinking about some real optimization game. As part of that learning journey, though am no where close to the folks who are already working on this, I started my learning now that i have my own portfolio website up and running to document everything that I learn.
What better source than MIT itself and thanks to their open learning platform, i got enough material to get started with the basics. By following these series of lectures, I hope to gain ample knowledge on the work done in this field since that past couple of decades and hopefully get some seeds planted in my head for more ideas on what can be further done to maybe contribute a drop in this vast ocean of a deeply interesting field like distributed compute.
#Use Headings Like This
Regular paragraphs go here. You can write as much as you want.
Bold text looks like this. Italic text looks like this.
#Subheading
- Bullet point one
- Bullet point two
- Numbered item one
- Numbered item two
This is a blockquote — great for highlighting a key idea.
You can add code like this:
print("Hello, world!")
And links look like this.