Data products, data agents and semantic layers: Exploring Microsoft Fabric
- Technology
The way we think about and build with data is changing. Data lakehouses have become an industry standard, and conversation is turning to semantic and governance layers as organizations seek to optimize and leverage data for the AI era. However, the concept of 'data products' — treating data as something that needs to be deliberately managed and packaged in a way that's easily usable and consumable for the people that need it — remains crucial. On this episode of the Technology Podcast, host Nate Schutta is joined by Thoughtworks colleague and Data and AI Lead Lorisa Perdoci and Lauren Hart...
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Is this episode right for you?
B2 · Upper-intermediate
Comfortable if you already follow TV news
- 74% of the words are B1 or easier.
- 156 words a minute: a natural pace.
- 137 harder words (B2 and up) in the whole episode.
Transcript
The opening of the episode. The whole transcript is in the player.
harder words (B2+)
Hello, everyone, and welcome to another edition of the ThoughtWorks Technology podcast. My name is Nate Shuda. I'm one of your regular hosts. And today I'm joined by two amazing guests, my friend and my colleague, my sometimes co-conspirator
cert, Larissa Perdocchi, and the one and only Lauren Hartman from Microsoft. Larissa, why don't you go ahead and introduce yourself. Hi, thank you, Nate. I'm Larissa, I'm a Lead Data and AI Consultant
and maybe more relevant for today. I'm also Microsoft Practice Lead for Data Modernization Across Europe at ThoughtWorks. And Lauren.
That was the opening. The rest of the episode (36 min) is in the player: every word clickable, with translation, saved words and flashcards.
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