Blog Post by Shawn Davison
The Lakehouse Freeway, Part 3: Real-Time Data + AI on One Platform
Part 1 established the governed data foundation. Part 2 added a canonical Unified Data ...
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The Lakehouse Freeway, Part 2: Shared Business Meaning for Apps and Agents
A case for building a Unified Data Platform (UDP) on Databricks, leveraging both ...
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The Lakehouse Freeway, Part 1: Your AI Strategy is a Data Architecture Problem
A case for building a Unified Data Platform (UDP) on Databricks, leveraging both ...
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Multi-Tenant Isolation for Databricks, Part 3: External Agent Integration Through MCP
Part 1 of this series compared isolation architectures: dedicated catalogs, dedicated ...
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Multi-Tenant Isolation for Databricks, Part 2: Tenant-Scoped Genie Spaces
In Part 1 of this series, we compared dedicated catalogs, dedicated workspaces, and ...
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Multi-Tenant Isolation for Databricks, Part 1: Choosing the Right Architecture
As external AI and analytics products move from pilot to production, one question keeps ...
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The AI Model is Swallowing the Agent
For the past two years, the AI industry has been fixated on agents. A wave of frameworks ...
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Modernizing SaaS Platforms for Business Growth
Many SaaS companies that found early success a decade ago now find themselves constrained ...
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Modernizing SaaS: From Legacy Apps to AI-Driven Platforms
A Comprehensive eBook on SaaS Modernization After years of growth, mid-market SaaS ...
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DevIQ on MLOps: Project Delivery
By focusing on deliberate deployment, robust logging and monitoring, and continuous ...
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Evolving Smarter: Six Key Stages of Smart Connected Operations
The focus of SmartOps is on moving the needle regarding “how” business operations can be ...
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Data Lake vs Lakehouse vs Data Mesh: The Evolution of Data Transformation
The data analytics buzzwords are quickly changing these days and rapid transformation is ...
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