Category: AI
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As I was helping one of my customers implement structured CI/CD and MLOps processes on Databricks, I decided to compile a practical checklist to guide others on similar journeys. While this topic could easily span books and multi-day workshops, my goal here is to keep it simple and actionable. This checklist outlines best practices across…
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In a previous post, we explored options for accessing data in Databricks from external apps and systems. In this post, we’ll dive into another integration method: using Databricks SQL REST APIs with Databricks OAuth for authorization. We’ll demonstrate how to connect to Databricks with single sign-on (SSO) in both Power Apps and a custom Python…
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This post delivers a Retrieval Augmented Generation (RAG) app using Gradio, MLflow Tracing, and Databricks Mosaic AI to build a quick chat interface for testing and rapid customer feedback, with support for streaming and citations from a vector database. It extends the app built on the Databricks Demo “Build High-Quality RAG Apps with Mosaic AI…
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Put simply, observability is the ability to infer the internal states of a system based on the data it generates, such as logs, metrics, and traces. Observability is foundational to site reliability engineering. It’s a concept derived from control theory, particularly relevant to distributed systems due to the challenges in maintaining a cohesive whole. Observability…
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