The Semantic Lakehouse for AI/BI
Kyle Hale, Lead Product Architect with Databricks, coined the term ” Semantic Lakehouse ” in a 2022 blog. The blog explained how to extend the Lakehouse offering to users at the “top of the stack”…
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How AtScale and Databricks Genie Democratize Data Intelligence with AI + a Semantic Layer
In our recent webinar, Democratizing Data Intelligence Across the Supply Chain with a Semantic Layer , I had the pleasure of speaking with Joshua Green , Data and AI Strategist at Databricks , about how…
Modernize Your SSAS Architecture with Databricks and AtScale
This post was written in collaboration with Swaroop Oggu , Solutions Architect at Databricks. Dimensional analysis is an important tool for building analytics-oriented data products (e.g. interactive dashboards) based on data assets managed in a…
Autonomous AI Without a Semantic Layer Is Just Expensive Guessing
I’ve been in the BI and data space long enough to recognize when something fundamental shifts. Denny Lee and I first worked together when he was at Microsoft on SQL Server Analysis Services (SSAS) ,…
Not All Semantic Layers Are Built for AI
The semantic layer has moved from niche infrastructure to a boardroom priority. Snowflake announced one. Databricks announced one. Google repositioned Looker as one. Microsoft repositioned Power BI as one. This is genuinely good news. As…
Deliver Self-Service BI at scale with the Semantic Layer + Databricks
I recently had the opportunity to sit down for a tech talk with an extraordinary guest: Franco Patano, the lead product specialist for Databricks SQL. We had a great conversation about how a semantic layer…
Microsoft Held Databricks Customers Hostage. Customers Paid the Ransom. Freedom Ends It.
Microsoft made a small, deliberate change to the Power BI connector for Azure Databricks ( release notes ). The change looks technical, but it’s really a move to seize control of the semantic layer ,…
Snowflake, Databricks, AtScale, and Omni, on the same stage, on purpose
The OSI panel airs at the Semantic Layer Summit. Here’s what I’m hoping shakes loose. Snowflake and Databricks don’t usually sit at the same table. They compete for the same workloads, the same logos, the…
The Semantic Wars Are Here. Google, You're Next.
Microsoft started a semantic war with Databricks. The next front is AI. Google customers need a semantic strategy to stay free on both. Microsoft just killed the connector that let Power BI read Databricks’ business…
How to Scale SSAS-Style Analytics with Databricks + AtScale
As organizations become more data-centric, companies are bringing in data from more sources and storing more volume. That’s only added more fuel to the ongoing data cloud ‘platform wars’, particularly with Databricks and Snowflake . …