š° #31 Starburst, Data Stack Show, We donāt need data scientists; ThDPTh #31 š°
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š° #31 Starburst, Data Stack Show, We donāt need data scientists; ThDPTh #31 š°
How Starburst and trino will develop in the future, why we donāt need more data scientists but data engineers and Sven on the data stack show discussing all thingsĀ data.
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š„(1) Justin Borgman, Starburst onĀ Podcast
I just listened to Justin Borgman on the opensourceunderdogs podcast and found it really interesting to understand more about presto/trino, especially three things:
To understand how they see themselves in the data mesh context
To understand how they act as abstraction layer/decoupling component
The general direction of future development.
I particularly like how Justin discusses the decoupling aspect in the sense that trino is kind of an analytical database without storage. No need to copy data around, stuff can happen at query time. Of course, the guys at firebolt will have some things to say about whether thatās actually feasible or not, but I like the general direction.
I also like the project because it empowers teams to have an abstraction layer that essentially allows doing piece-by-piece migrations of data warehouses or data lakes; A concept I find very important. After all, I think you should be able to exchange all of the major components of your tech stack every 6ā12 months.
Mike:Ā Hello, and welcome to Open Source Underdogs. ā¦
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š® (2) We need data engineers, not scientists!
Mihail Eric, a machine learning researcher, did some digging into the data behind current ādataā job openings and came up with pretty stunning numbers, 70% more job openings in the ādata engineeringā space compared to the ādata scientistā space.
Yeah, that is it! All I wanted to share, just the number this time. Just let it sink in.
We Donāt Need Data Scientists, We Need Data Engineers - KDnuggets
As more people are entering the field of Data Science and more companies are hiring for data-centric ā¦
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š®š®š® Data Company CornerĀ š®š®š®
Stuff that might be interesting for anyone at the front line of the data world, inside a data company, inspired by much positive feedback from my article on commercial open source software data companies.
š£ (3) From Sven: Four Dragons of Dataā-āPodcast
I had a really fun time discussing lots of different topics in the data space and explaining some ideas about the four ādragons of dataā on the data stack show, which is featured by RudderStack. The four dragons are the āDAKSā:
- Decentralization of data
- Amount of data
- Kinds of data structures
- The Data Snowflake Problem
47: Taming the Four Dragons of Data with Sven Balnojan of Mercateo Gruppe | The Data Stack Show
This week on The Data Stack Show, Eric and Kostas are joined by Sven Balnojan, product ownerā¦
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š In Other News &Ā Thanks
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