Category: AI
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Back to work to officially start the year with a deep sense of gratitude. Grateful for the lessons and achievements of last year. Energized by what’s ahead. My promise for this year is simple. No resolutions. Just showing up every day. Enjoying the moment. Growing mind, body, and spirit. No comparisons. Like a black belt,…
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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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