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Learn to create and utilize PowerShell script modules, including advanced concepts like module manifests and dynamic function loading for enhanced DevOps efficiency.
Learn to automate tasks in Azure using Automation Accounts. Explore job scheduling, runbooks, configuration management, and PowerShell modules for efficient cloud operations.
Learn to configure and utilize PowerShell remoting on Azure VMs, enabling scalable automation through remote command execution and practical demonstrations.
Learn to quickly set up and use an Azure Data Science Virtual Machine, equipped with essential tools for data science and machine learning projects.
Explore Azure Databricks, a Big Data service based on Apache Spark. Learn about its features, security, and integration with Python, R, SQL, and machine learning frameworks.
Explore Azure Data Services options, their scalability, and integration with R and Python in this high-level overview demystifying PaaS for data professionals.
Learn to create interactive documents combining code, visualizations, and text using Jupyter Notebooks. Explore features, languages, and applications across various industries.
Learn RStudio's key features, from installation to scripting, debugging, and data visualization. Master this powerful IDE for R programming efficiently.
Learn to install and use R programming language, covering basics like data creation, functions, statistics, and visualizations in this quick introduction.
Learn key concepts and practices of Dimensional Modeling using the Kimball Method. Explore star schemas, snowflake schemas, surrogate keys, and slowly changing dimensions for effective data warehouse design.
Learn PowerShell looping constructs including For, ForEach-Object, While, and Pipeline loops. Gain practical skills through demonstrations and understand key considerations.
Explore PowerShell basics, syntax, environments, and scripting essentials. Learn about versions, security, and key features like variables, conditionals, and pipelines.
Explore Windows PowerShell's CLI and ISE, learning key features, customization options, and essential commands for efficient scripting and system management.
Explore the Data Lakehouse concept, its comparison to traditional SQL warehouses, and its significance in modern data architecture.
Learn to orchestrate and schedule complex multi-task processes using Databricks workflows, a powerful extension to the Jobs service that utilizes DAG architecture for efficient data processing and automation.
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