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@cubedev.bsky.social
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a universal semantic layer cube.dev

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arynndoesdata @arynn.bsky.social · 06/12/2024
The process of identifying useful products and services is never easy. DBTA organizes a list of useful and cutting-edge products every year to help organizations address changing market requirements. Happy to see Cube @cubedev.bsky.social in a spotlight on this list! www.dbta.com/Editorial/Tr...
dbta.com
Trend-Setting Products in Data and Information Management for 2025
Big data is continuing to proliferate at organizations, this time spurred by AI and machine learning within enterprise software tools, followed by advancements in software for managing unstructured da...
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Reposted by cube
David Jayatillake @jayatillake.bsky.social · 19/12/2024
As you can imagine, it uses the metadata available from a SQLMesh project and outputs @cubedev.bsky.social semantic layer YAML. It uses OpenAI LLMs (defaults to o1-preview) as part of the workflow. You need an OpenAI API key and your Org ID to pass into the command options.
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Reposted by cube
David Jayatillake @jayatillake.bsky.social · 11/02/2025
Announcing a new Substack! Focused on the theme of applying AI to analytics. I'm collaborating with Artyom Keydunov and Brian Bickell on this, and we'll bring you interesting, trending articles and news on our theme. aiforanalytics.substack.com/p/ai-for-ana...
aiforanalytics.substack.com
AI for Analytics #1
We are launching a newsletter and a podcast on how AI is transforming the data industry!
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Reposted by cube
Simon Späti 🏔️ @ssp.sh · 19/12/2024
The last part of the #semanticlayer series is here. We explore the allowed AI-powered capabilities and why it's the structured bridge between data sources and business requirements. How declarative metrics, data models, and metadata enable the LLM to interpret the business context accurately.
cube.dev
Semantic Layer and AI: The Future of Data Querying with Natural Language - Cube Blog
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Reposted by cube
Simon Späti 🏔️ @ssp.sh · 04/12/2024
Part 2 of Universal Semantic Layer is live. This deep dive explores how SL fits into modern data architectures with multiple data sources and BI tools. Organizations need consistency across metrics while making data accessible - SLs provide this single source of truth while abstracting complexity.
cube.dev
Universal Semantic Layer: Capabilities, Integrations, and Enterprise Benefits - Cube Blog
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cube @cubedev.bsky.social · 13/11/2024
cube cloud, explained
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David Jayatillake @jayatillake.bsky.social · 03/11/2024
@cubedev.bsky.social CEO Artyom Keydunov on Infoworld talking about the importance of universal semantic layers. www.infoworld.com/article/3596...
infoworld.com
Overcoming data inconsistency with a universal semantic layer
Disparate BI, analytics, and data science tools result in discrepancies in data interpretation, business logic, and definitions among user groups. A universal semantic layer resolves those discrepanci...
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