Blog
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10 minute readTalk to Your Data (Loudly)
Talking to data has become feasible thanks to LLMs, But How? And Why?
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3 minute read
OSI is Cool
Over the years at Honeydew, we’ve built our foundation on one simple belief: if you want people to trust data – whether from dashboards, AI agents, or BI tools – your semantics have to be consistent, understandable, and shared. We’ve fought the typical misalignments: one tool calls something “active_users”, another calls it “users_engaged”, a third […]
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9 minute read
Honeydew and Snowflake Semantic Views
How Honeydew and Snowflake Semantic Views mesh together
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5 minute read
Our 2025 Roadmap: From BI to AI
What happens when natural language queries become the new BI? Honeydew's job expands in 2025
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5 minute read
How we teach data to an LLM
Behind the curtain: The role of semantic layers in teaching AI about your data
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5 minute read
Excel is the Best BI Tool, and It’s Not Going Anywhere—Just Ask Your CFO
Where to build that metric? Should it be in dbt or a semantic layer? Join me talking with Adam Morton about it
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1 minute read
Where to build business logic on Snowflake: a PowerBI case study
Where to build that metric? Should it be in dbt or a semantic layer? Join me talking with Adam Morton about it
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1 minute read
Strategic Decisions in Data Reporting : where to build metrics?
Where to build that metric? Should it be in dbt or a semantic layer? Join me talking with Adam Morton about it
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7 minute read
On the value of Expressiveness
Occasionally (ok, very commonly) I find myself in a conversation comparing different Semantic Layers. And while many times the conversation veers towards the fundamentals like performance, cost, or tool support, I think there is one crucial component lacking.
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4 minute read
Why did we build a Native App for Honeydew Semantic Layer on Snowflake?
Semantic layers are awesome. But they are even more awesome when they are tightly integrated into your Snowflake, and right at your fingertips in your Snowflake Web Interface or Snowflake application.
