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Innehåll tillhandahållet av deepskydata and Timo Dechau - deepskydata. Allt poddinnehåll inklusive avsnitt, grafik och podcastbeskrivningar laddas upp och tillhandahålls direkt av deepskydata and Timo Dechau - deepskydata eller deras podcastplattformspartner. Om du tror att någon använder ditt upphovsrättsskyddade verk utan din tillåtelse kan du följa processen som beskrivs här https://sv.player.fm/legal.
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How to provide every team with the right data access - with Oliver Laslett from Lightdash

55:08
 
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When? This feed was archived on September 28, 2024 20:08 (1M ago). Last successful fetch was on February 26, 2024 18:24 (8M ago)

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Manage episode 338732458 series 3332241
Innehåll tillhandahållet av deepskydata and Timo Dechau - deepskydata. Allt poddinnehåll inklusive avsnitt, grafik och podcastbeskrivningar laddas upp och tillhandahålls direkt av deepskydata and Timo Dechau - deepskydata eller deras podcastplattformspartner. Om du tror att någon använder ditt upphovsrättsskyddade verk utan din tillåtelse kan du följa processen som beskrivs här https://sv.player.fm/legal.

Would you start a new product when the category is pretty crowded already What if you start a new product where the category is pretty crowded already?

And most of the people that you talk to tell you: maybe not a good idea.

But Oliver and Hamzah decided to do it. A new BI tool based on modern data principles and tools.

It’s built on top of the metadata that you already have when you use dbt. In the same place where you describe your model with descriptions and columns, you can use Lightdash to define your metrics and dimensions and how these different kinds of data tables relate to each other.

This is the metric or semantic layer everyone is talking about. An abstraction layer between your tables in your data warehouse and the place the business users are working with it.

So marketing, product, or sales. They basically get a prepared version of the data just for them. With metrics and dimensions for them to work with. And so they don't have to think about how do I get the revenue and where do I get the country information so I can drill it down by country.

  continue reading

9 episoder

Artwork
iconDela
 

Arkiverad serie ("Inaktivt flöde" status)

When? This feed was archived on September 28, 2024 20:08 (1M ago). Last successful fetch was on February 26, 2024 18:24 (8M ago)

Why? Inaktivt flöde status. Våra servar kunde inte hämta ett giltigt podcast-flöde under en längre period.

What now? You might be able to find a more up-to-date version using the search function. This series will no longer be checked for updates. If you believe this to be in error, please check if the publisher's feed link below is valid and contact support to request the feed be restored or if you have any other concerns about this.

Manage episode 338732458 series 3332241
Innehåll tillhandahållet av deepskydata and Timo Dechau - deepskydata. Allt poddinnehåll inklusive avsnitt, grafik och podcastbeskrivningar laddas upp och tillhandahålls direkt av deepskydata and Timo Dechau - deepskydata eller deras podcastplattformspartner. Om du tror att någon använder ditt upphovsrättsskyddade verk utan din tillåtelse kan du följa processen som beskrivs här https://sv.player.fm/legal.

Would you start a new product when the category is pretty crowded already What if you start a new product where the category is pretty crowded already?

And most of the people that you talk to tell you: maybe not a good idea.

But Oliver and Hamzah decided to do it. A new BI tool based on modern data principles and tools.

It’s built on top of the metadata that you already have when you use dbt. In the same place where you describe your model with descriptions and columns, you can use Lightdash to define your metrics and dimensions and how these different kinds of data tables relate to each other.

This is the metric or semantic layer everyone is talking about. An abstraction layer between your tables in your data warehouse and the place the business users are working with it.

So marketing, product, or sales. They basically get a prepared version of the data just for them. With metrics and dimensions for them to work with. And so they don't have to think about how do I get the revenue and where do I get the country information so I can drill it down by country.

  continue reading

9 episoder

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