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How to start with data and save your resources - with Jonas Thordal from Weld

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Treść dostarczona przez deepskydata and Timo Dechau - deepskydata. Cała zawartość podcastów, w tym odcinki, grafika i opisy podcastów, jest przesyłana i udostępniana bezpośrednio przez deepskydata and Timo Dechau - deepskydata lub jego partnera na platformie podcastów. Jeśli uważasz, że ktoś wykorzystuje Twoje dzieło chronione prawem autorskim bez Twojej zgody, możesz postępować zgodnie z procedurą opisaną tutaj https://pl.player.fm/legal.

Listen to my conversation with Jonas from Weld to learn more about deciding on a data stack, the benefits of an integrated platform, and how to start with data in your company.

It’s so much fun to build your data stack bundle by combining 2, then 5, then ten different tools. The significant promise of best-of-breed is that you shop for the best solutions and just connect them with the promise that you can always swap solutions when something better comes up. That’s the theory.

So why would you use a platform that is doing 4-5 things that single tools could do for you as well?

- You definitely save time by getting everything running
- You don’t have to learn four tools, just one
- You just make one contract/subscription instead of 4

These can be compelling reasons.

But in my conversation with Jonas from Weld, I learned about a significant benefit that is not obvious in the first place. The meta layer.

What is the meta layer? An integrated platform knows everything from ingesting, modeling, storing, and activating. Because it all happens in one place, they can run monitoring on top and do deep lineage. They simply know how data moves from a to b to c. They can even know how much costs you generate at the moment in your cloud setup and can advise you on savings.

This is an immense benefit over best-of-breed solutions where you have to create the meta layer yourself (or believe that data ops, monitoring, or catalog tools do it for you).

  continue reading

9 odcinków

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Fetch error

Hmmm there seems to be a problem fetching this series right now. Last successful fetch was on February 26, 2024 18:24 (7M ago)

What now? This series will be checked again in the next day. If you believe it should be working, please verify the publisher's feed link below is valid and includes actual episode links. You can contact support to request the feed be immediately fetched.

Manage episode 334376947 series 3332241
Treść dostarczona przez deepskydata and Timo Dechau - deepskydata. Cała zawartość podcastów, w tym odcinki, grafika i opisy podcastów, jest przesyłana i udostępniana bezpośrednio przez deepskydata and Timo Dechau - deepskydata lub jego partnera na platformie podcastów. Jeśli uważasz, że ktoś wykorzystuje Twoje dzieło chronione prawem autorskim bez Twojej zgody, możesz postępować zgodnie z procedurą opisaną tutaj https://pl.player.fm/legal.

Listen to my conversation with Jonas from Weld to learn more about deciding on a data stack, the benefits of an integrated platform, and how to start with data in your company.

It’s so much fun to build your data stack bundle by combining 2, then 5, then ten different tools. The significant promise of best-of-breed is that you shop for the best solutions and just connect them with the promise that you can always swap solutions when something better comes up. That’s the theory.

So why would you use a platform that is doing 4-5 things that single tools could do for you as well?

- You definitely save time by getting everything running
- You don’t have to learn four tools, just one
- You just make one contract/subscription instead of 4

These can be compelling reasons.

But in my conversation with Jonas from Weld, I learned about a significant benefit that is not obvious in the first place. The meta layer.

What is the meta layer? An integrated platform knows everything from ingesting, modeling, storing, and activating. Because it all happens in one place, they can run monitoring on top and do deep lineage. They simply know how data moves from a to b to c. They can even know how much costs you generate at the moment in your cloud setup and can advise you on savings.

This is an immense benefit over best-of-breed solutions where you have to create the meta layer yourself (or believe that data ops, monitoring, or catalog tools do it for you).

  continue reading

9 odcinków

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