redstone08

I think the value will be created from the data itself, less focus on data-processing skills. Of course, modeling skills will be still important at future, but data-processing would rather become much more easier. That's why self-bi tools like Tableau, Elastic search are becoming more and more popular.

I am personally focusing on Metatron Discovery, which is an Open-Sourced Big data analytics platform for citizen scientists. Link : https://github.com/metatron-app/metatron-discovery

There are many laboratories that hire part-time data labelers to secure their own verified dataset. In fact, many global companies actually create values and earn money from their own various datasets. I think the value will be created from the data itself, less focus on data-processing skills. Of course, modeling skills will be still important at future, but data-processing would rather become much more easier. That's why self-bi tools like Tableau, elastic search are becoming more and more popular. I personally recommend Metatron Discovery, which is an Open-Sourced Big data analytics platform for citizen scientists. Link : https://github.com/metatron-app/metatron-discovery

I think people are realizing that data scientist without domain knowledge cannot create valuable insights. Enterprises seems to hire less data scientists actually, but they are trying to raise their employees' data skills. I think that's the cause of the growth of self-analytics tools. Below are examples of them.

1. Metatron Discovery : https://metatron.app 2. Metabase : https://metabase.com/

I think people are realizing that data scientist without domain knowledge cannot create valuable insights.

Enterprises seems to hire less data scientists actually, but they are trying to raise their employees' data skills.

I think that's the cause of the growth of self-analytics tools. Below are examples of them.

1. Metatron Discovery : https://metatron.app 2. Metabase : https://metabase.com/