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+## doAzureParallel Guide 
+This section will provide information about how Azure works, how best to take advantage of Azure, and best practices when using the doAzureParallel package.
+
+1. **Azure Introduction** [(link)](./00-azure-introduction.md)
+
+   Using the *Data Science Virtual Machine (DSVM)* & *Azure Batch* 
+
+2. **Virtual Machine Sizes** [(link)](./10-choosing-vm-sizes.md)
+
+   How do you choose the best VM type/size for your workload?
+   
+3. **Package Management** [(link)](./20-package-management.md)
+
+   Best practices for managing your R packages across your Azure cluster
+   
+4. **Distributing your Data** [(link)](./21-distributing-data.md)
+
+   Best practices and limitations for working with distributed data.
+   
+5. **Parallelizing on each VM Core** [(link)](./22-parallelizing-cores.md)
+
+   Best practices and limitations for parallelizing your R code to each core in each VM in your cluster
+
+6. **Persistent Storage** [(link)](./23-persistent-storage.md)
+
+   Taking advantage of persistent storage for long-running jobs