DataOps with Azure
Delivering data projects in Azure at speed and scale by building a DataOps culture. In this session, we will walk through a journey through the Azure Data Services and the delivery of value through automated data pipelines in Azure. Looking at the whole data lifecycle and building a DataOps culture. Showing patterns to ingest and process data through scalable services using batch and streaming approaches, through to data exploration and analysis and delivery of models and insights. Looking at: • Data Factory • Data Lake Gen2 • Data Explorer • Databricks • Synapse • Azure Pipelines

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DataDevOps for the Modern Data Warehouse on Microsoft Azure - Lace Lofranco

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The Zen of DataOps - AWS Lake Formation and the Data Supply Chain Pipeline

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

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Demystifying DataOps - Riding the Change

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Azure Basics Tutorial

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

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Using the Well-Architected Framework

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Home Working: A psychological perspective for looking after yourself | Sheffield Digital Festival
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Power Apps and Power Automate in Microsoft Teams [Full Course]

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Terraform explained in 15 mins | Terraform Tutorial for Beginners

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Azure Data Factory Tutorial | Introduction to ETL in Azure

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Getting Started in Azure Data Factory | Azure Fundamentals

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Modern Architecture 101 for New Engineers & Forgetful Experts - Jerry Nixon - NDC Copenhagen 2025

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CI/CD Explained: The DevOps Skill That Makes You 10x More Valuable

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Microsoft Azure Explained: A Beginner's Guide to Cloud Computing

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Data Operations on Azure #azure #microsoftazure

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Dataops for the Modern Data Stack and how to get started

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Databases Vs Data Warehouses Vs Data Lakes - What Is The Difference And Why Should You Care?

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Azure Decoded: Ground AI Apps with Fabric IQ’s Semantic Foundation

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