Lakeflow with Databricks One, AI Functions and Agents
In this demo, Frank presents the DAIWT Lakeflow demo Gourmet Pipeline from an AI perspective, showcasing how to create dynamic marketing campaigns that leverage your enterprise data. See how data ingested via Lakeflow Connect is transformed with Lakeflow Spark Declarative Pipelines, with the entire process orchestrated through Lakeflow Jobs. Learn to operationalize your LLMs and AI agents with live enterprise data, demonstrating how Lakeflow integrates seamlessly with Databricks One and AI Functions to deliver real-time, data-driven marketing insights and campaigns.
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Building Tool-Calling Agents With Databricks Agent Framework and MCP
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Getting the most out of AI/BI Dashboards with Databricks One and UC Metrics
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Creating a Knowledge Graph from scratch in 10 minutes with OntoBricks 0.5
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Lakeflow In Action (Gourmet Pipeline Demo)
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Graph Neural Networks Just Solved Enterprise AI?
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Delta Live Tables A to Z: Best Practices for Modern Data Pipelines
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The Semantics of a Semantic Layer by Dave Mariani
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What is Databricks? The Story Behind the Modern Data Platform (Visual Explanation)
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Build a Medallion Architecture with Databricks Lakeflow | Data Quality, Aggregation & Orchestration
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Databricks LakeFlow: A Unified, Intelligent Solution for Data Engineering. Presented by Bilal Aslam
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All you need to know about Databricks One
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Intelligent Document Processing: Building AI, BI, and Analytics Systems on Unstructured Data
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How AI agents & Claude skills work (Clearly Explained)
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How to Implement a Semantic Layer for Your Lakehouse
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Building Enterprise-Ready Agents using Agent Bricks
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Real-Time Search and Recommendation at Scale Using Embeddings and Hopsworks
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Build a SMART AI Agent in 30 Minutes with Databricks and LangChain
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Intro to Databricks Lakehouse Platform Architecture and Security
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