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Why You Need Data Engineers And Data Scientists To Be Successful!

Data Science, Artificial Intelligence and Machine Learning. These topics are currently the hype in the field of Data Science.

Everyone wants to become a Data Scientist.

But isn't the work being done in the field of Data Engineereing the real MVP? Isn't it important to have Data Scientists AND Data Engineers on board to make a project successful?

Yes, it is! Why?

Having only a Data Scientist is senseless

Both - Data Scientists and Data Engineers - have to work together. It is completely pointless to believe that you hire a Data Scientist and everything will be fine.

However, this is often the case in practice. A Data Scientist is hired and it is assumed that everything will work and a great product will be delivered.

But that is exactly the mistake.

Plumbing is an important part

Because the plumbing, the technology behind it, is super important. Even if you can't see it directly.

That's why you need a good engineering team to actually create a good product. Only then do you have a team with which you can work successfully.

The interaction is the key to success

You have the great Data Scientists who can do the analysis and the Engineering team that more or less delivers the data and manage the whole thing.

In my opinion, this is exactly the key to success!

What do you think about it? Is the hype about Data Scientists justified? Or do you also think that the interaction of both is important?

>> created by Mira Roth


Check out my full video on YouTube!

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