Supercharge Data and AI Innovation with Azure Databricks

This episode of the #AzureEssentialsShow episode focuses on how #AzureDatabricks transforms fragmented data estates into unified platforms for analytics and #AI, highlighting its integration within the Azure ecosystem and the resources available for skill development. Important Moments to Watch For • The challenges organizations face with siloed and fragmented data. • How Azure Databricks unifies data analytics and AI workflows. • The role of Azure Databricks in data preparation, pipeline management, and model building. • Skilling resources for progressing from foundational to advanced knowledge. Three Things You Will Learn • How Azure Databricks fits into the broader Azure ecosystem and accelerates data-driven projects. • The ways Azure Databricks supports data preparation, pipeline management, and model development. • Where to find resources to build your skills from beginner to advanced levels in Azure Databricks and data analytics. Resources • What is Azure Databricks? - Azure Databricks https://learn.microsoft.com/azure/databricks/introduction • Data Analytics Platform https://www.microsoft.com/microsoft-fabric • Azure AI Foundry documentation https://learn.microsoft.com/azure/ai-foundry • Microsoft Entra documentation https://learn.microsoft.com/entra • Data governance with Azure Databricks - Azure Databricks https://learn.microsoft.com/azure/databricks/data-governance • Official plan: Run large data engineering workloads with Azure Databricks https://aka.ms/AzureDatabricks_TYD • Official plan: Transform data for AI solutions with Azure Databricks https://aka.ms/AzureDatabricks_UYDforAI • Databricks runs best on Azure | Microsoft Azure Blog https://aka.ms/ADBPerfBenchmark • Explore more Azure Essentials resources! https://azure.com/AzureEssentials Related episodes • Watch more Skilling episodes https://aka.ms/azenable/Skilling • Watch the Azure Essentials Show https://aka.ms/AzureEssentialsShow Chapters 0:00 Introduction to Azure Databri