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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 Databricks and Skilling Plans
0:42 Meet the Hosts and Guests
1:05 What is Azure Databricks?
2:04 Solving Real-World Data Challenges
3:24 Preparing Data for AI
4:22 Governance and Security
5:20 Skilling Plans for Data Professionals
7:26 Resources and Next Steps Read More Microsoft Developer
