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043-SQLModernization/Coach/README.md

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## Presentations
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* [Migrating SQL Server to Azure](./Coach/SQLMigration.pptx)
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* [Migrating SQL Server to Azure](./SQLMigration.pptx?raw=true)
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## Coach's Guides
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043-SQLModernization/README.md

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## Challenges
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0. Challenge 0: [Setup](./Student/Challenge00.md)
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1. Challenge 1: [Migration](./Student/Challenge01.md)
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2. Challenge 2: [Advanced Migration at Scale](./Student/Challenge02.md)
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3. Challenge 3: [Performance & Tuning](./Student/Challenge03.md)
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4. Challenge 4: [Security & Auditing](./Student/Challenge04.md)
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5. Challenge 5: [High Availability & Disaster Recovery](./Student/Challenge05.md)
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6. Challenge 6: [Data Governance](./Student/Challenge06.md)
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* Challenge 0: [Setup](./Student/Challenge00.md)
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* Challenge 1: [Migration](./Student/Challenge01.md)
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* Challenge 2: [Advanced Migration at Scale](./Student/Challenge02.md)
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* Challenge 3: [Performance & Tuning](./Student/Challenge03.md)
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* Challenge 4: [Security & Auditing](./Student/Challenge04.md)
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* Challenge 5: [High Availability & Disaster Recovery](./Student/Challenge05.md)
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* Challenge 6: [Data Governance](./Student/Challenge06.md)
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## Technologies
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1. Azure SQL Database / Managed Instance
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1. Azure Database Migration service
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1. Azure Data Studio
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1. Azure Purview
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* Azure SQL Database / Managed Instance
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* Azure Database Migration service
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* Azure Data Studio
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* Azure Purview
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## Prerequisites
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## Repository Contents
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- `../Coach/Solutions`
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- `../Coach/`
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- Coach's Guide for challenges
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- Solution files for challenges
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- `../Student`
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- Student's Challenge Guide
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- `../images`
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- Generic image files
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## Related Hacks
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043-SQLModernization/Student/Challenge03.md

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### Explore new features
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To begin, download and open the [Intelligent Query Processing notebook](./resources/SQLWTH_Challenge3_IntelligentQueryProcessing.ipynb) using Azure Data Studio or another tool of your choice that can work with a standard Jupyter Notebook. The Notebook will walk you through the test, comparing performance of an analytical query using compatibility mode 130 vs 150.
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To begin, download and open the [Intelligent Query Processing notebook](./Resources/SQLWTH_Challenge3_IntelligentQueryProcessing.ipynb?raw=true) using Azure Data Studio or another tool of your choice that can work with a standard Jupyter Notebook. The Notebook will walk you through the test, comparing performance of an analytical query using compatibility mode 130 vs 150.
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Follow the steps to create a Log Analytics workspace, a monitoring user, and an Azure Virtual Machine to [enable Azure Monitor SQL Insights ](https://docs.microsoft.com/en-us/azure/azure-monitor/insights/sql-insights-enable) on your subscription, and start monitoring your databases.
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