Though I’m still working towards; what I call “Now I have achieved what I thought”, the time when I can say “This is done, let’s plan where to go from here now”. Let’s try to solve this problem of “Life”.
You are given a matrix and you have multiple goals to achieve one after the other, for simplicity you can start with one but you know one should not get satisfied too early and keep on planning to achieve one goal after the another, this is the fun part, right. …
As Data drives business we need Data lake to collect data and get advantage from it. In this story, we will cover all the insights about the data lake and know it in a better way.
Having intelligent services and microservice architecture, a system produces millions of bytes of data per second but if we don’t use them to drive our business and get useful insights that help us to make crucial decisions it’s just garbage for us. So here comes Data lakes into the picture.
Before going let’s see what type of data we have!
This story will answer most of the questions that come to your mind while thinking of how to build a platform that can help you deploy your AI model overproduction or what all we need to look into a platform for the same.
Machine Learning Engineer at Expedia Group || Explore System Design and Architectures || Bachelors in Computers from IIITD