The future of Observability and Cost tracking in Databricks with Greg Kroleski
Come learn about the latest tools to keep your team under budget and optimize your Data ROI. Find out how you can increase visibility into costs, enable attribution to internal projects, understand the Total Cost of Ownership, setup controls to avoid surprises and find ways to continually optimize your spend. Chapters 00:00 - Introduction to finops 02:33 - The evolution of observability and finops 09:32 - Best practices for implementing finops 10:47 - Budget policies and taggings 13:58 - Demonstrating bugdet policies in action 16:57 - Future direction of cost management 19:28 - Customer engagement Documentation Blog:https://www.databricks.com/blog/easy-... Youssef Mrini, NextGenLakehouse, Databricks

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Databricks Cost Management: Tips and Tools to Stay Under Budget

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Google & AWS Veteran: What Top Tier Software Architects Do Differently

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Converting string to character array to int array to linkedlist

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The Future of AI Agents with Andrew Ng | Interrupt 26

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May 2026 Databricks Updates: No Code ETL, New GPUs and Death of the Dashboard

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Webinar: End-to-End RAG with Databricks

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Transforming Databricks Cost Management Data into the FOCUS Format: A Practical Guide

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Learn Snowflake in 2 Hours| High Paying Skills | Step by Step For Beginners

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Databricks DAIS 2026 ALL ANNOUNCEMENTS SUMMARIZED | Ontology, Reyden, LTAP, Omnigent & More

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Databricks Live Bootcamp | Day1: Introduction & Data Analytics

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Learn Databricks in Under 2 Hours

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Keynote: After the AI Hype – What’s Real, and What’s Next - Richard Campbell - 2026
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Azure Synapse | Azure Synapse Analytics [Full Course] ☁️

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Simplifying Lakehouse Observability: Databricks Key Design Goals and Strategies

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Future of Observability: How Agents Are Shaping Reliability Engineering

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MLOps Explained - What It Is, Why You Need It and How It Works

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Full Walkthrough: Workflow for AI Coding — Matt Pocock

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First Look at Lakeflow Designer ( Is this the end of manual ETL?)

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Learn ETL Pipelines in Databricks in Under 1 Hour | Data Engineering in Databricks

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