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Learn to integrate client-side PowerShell development with Azure Automation Service using Bryan Cafferky's guide. Master creating, editing, and deploying PowerShell Runbooks in under an hour.
Learn to automate Azure resources creation, maintenance, and deployment from your local machine using PowerShell scripts with Bryan Cafferky.
Learn the differences between Multidimensional and Tabular models in Microsoft Analysis Services in less than an hour with Bryan Cafferky.
Learn to import R and Python open source modules in Azure Databricks notebooks with Bryan Cafferky's step-by-step demo. Less than 1-hour workload.
Learn to manage big data costs with automation in less than an hour with Bryan Cafferky's training on Azure HDInsight and PowerShell.
Dive deep into Azure Databricks SQL with Bryan Cafferky. Learn powerful techniques, coding, and SparkSQL syntax in less than an hour. Slides and code available on GitHub.
Learn to create and use PowerShell script modules with Bryan Cafferky. Understand advanced concepts like module manifest and dynamic function loading. Less than 1-hour workload.
Learn to automate tasks with Azure Automation in less than an hour with Bryan Cafferky. Understand the Azure Automation Account, Runbooks, and PowerShell modules.
Learn to scale your automation with Bryan Cafferky's guide on PowerShell remoting, including configuration on Azure virtual machines. Less than 1-hour workload.
Learn to create an Azure Data Science Virtual Machine, equipped with Python, R, Jupyter Notebooks, and ML Server, in under an hour with Bryan Cafferky.
Bryan Cafferky's brief introduction to Azure Databricks, a Big Data service supporting Python, R, SQL, and machine learning frameworks. Less than 1-hour workload.
Explore Azure Data Services with Bryan Cafferky in under an hour. Learn about PaaS options, their scalability, and integration with R and Python.
Learn Jupyter Notebooks' features and applications in under an hour with Bryan Cafferky. Includes demos, data analysis, and collaboration techniques.
Dive into RStudio with Bryan Cafferky's quick introduction, covering installation, features, debugging, and package installation. Less than 1-hour commitment.
Learn to install and use the R programming language with Bryan Cafferky's quick guide. Master data creation, functions, statistics, and visualizations in under an hour.
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