From Raw Data To Deploying Machine Learning Models – Managing The Data Life Cycle

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Information.

Data.

It’s always been the key to making good decisions. Whether you are a commander on a battlefield in 1000 BC or a CEO in a boardroom in 2000.

Having critical information at the right time can make help make million and billion dollar decisions.

But, just having the data is not enough.

I could give you random stock prices, the temperature it will be for the next 3 weeks in Vegas and the number of kids being born tomorrow. This will be useless to most people. But in the current world we live today this is what it can feel like being a business executive.

There are hundreds of metrics, reports, dashboard and models being thrown around every day in a single company.

Some provide a lot of value to companies by having clear stories and goals. While others are as useless as the random facts stated above.

So how do you you take data from just random numbers on a screen to actually valuable?

That is what I am going to discuss in our next series of articles and videos .

How you can take data from raw, useless information and turn it into valuable insights.

We will be walking through the whole process. That means talking about concepts like ETLs, data warehouses and automation to analyzing data and deploying machine learning models.

Our goal will be to provide the reader with the skills and understanding to master the flows of data that go through both million and billion dollar companies.

We will be using a combination of technical diagrams, anecdotes and real life examples to help the reader understand and grasp every step required to make a successful data product.

This set of articles and videos will be for people who are looking to gain an understanding of the data life-cycle.

Whether you are looking to manage a team of data engineers and data scientists, or want to learn how to deploy machine learning models, data warehouses or ETLs, this will be a series for you.

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