Hey Habr! Previously, we have already published 3 articles out of 5 in our series of collections of interesting training courses from Microsoft. Today is the fourth part, and in it we will talk about the latest courses on the Azure cloud.
By the way!
- All courses are free (you can even try paid products for free);
- 5/6 in Russian;
- You can start training instantly;
- Upon completion, you will receive a badge confirming successful completion of the course.
Join, details under the cut!
All articles in the series
This block will be updated with new articles.
- ** the most ********** ****** from M******** on ******
1. Administer containers in Azure
Azure Container Instances is the fastest and easiest way to run containers on Azure. This learning path will help you learn how to create and manage containers and how to achieve flexible scaling for Kubernetes with ACI.
Course modules:
- Building a containerized web application with Docker;
- Create and store container images using Azure Container Registry;
- Running Docker containers with Azure Container Instances;
- Deploy and run a containerized web application using Azure App Service;
- General information about the Azure Kubernetes Service.
2. Data engineering with Azure Databricks
Learn how to work with Azure Databricks the right way and speed up your solution setup. Work with data in Azure SQL Data Warehouse using built-in connector services. An overview of the data services available in Azure. Build streamlined workflows and work with an interactive analytics workspace powered by Apache Spark. By the way, the course should take you about 8 hours.
Modules:
- Introduction to Azure Databricks;
- Access SQL Data Warehouse instances with Azure Databricks;
- Get data with Azure Databricks;
- Reading and writing data with Azure Databricks;
- Basic data transformations in Azure Databricks;
- Perform advanced data transformation in Azure Databricks;
- Building data pipelines with Databricks Delta;
- Working with data streaming in Azure Databricks;
- Create data visualizations with Azure Databricks and Power BI.
3. Develop effective solutions in Azure
Learn how to design and develop reliable, scalable, high-performance solutions on Azure by learning the key characteristics of an efficient architecture.
In this 4,5-hour course, you'll learn the key criteria for a successful Azure architecture, learn how to design for security, performance and scalability, operational efficiency, high efficiency, and availability. Join now!
4. Working with NoSQL data in Azure Cosmos DB
NoSQL data is an efficient way to store information that does not meet the requirements of a SQL relational database. Learn how to use the Azure portal, the Azure Cosmos DB extension for Visual Studio Code, and the Azure Cosmos DB .NET Core SDK to work with NoSQL data in any location and provide users with high availability no matter where they are.
Join learning NoSQL in Azure Cosmos DB!
5. Implementing a data warehouse with Azure SQL Data Warehouse
Azure SQL Data Warehouse provides relational big data storage that can scale to multiple petabytes of data. In this learning path, you'll learn how Azure SQL Data Warehouse can achieve this scale with Massive Parallel Processing (MPP) architecture. Create a data warehouse in minutes and use a familiar query language to build reports. Download a large amount of data in a few minutes and make sure the data store is secure.
The following topics are covered in this learning path.
- Learn how to create an Azure SQL Data Warehouse;
- Execute queries and visualize data from Azure SQL Data Warehouse;
- Importing data into SQL Data Warehouse using Polybase;
- Learn about the security controls provided by Azure Storage and Azure SQL Data Warehouse.
6. Build apps with Azure DevOps
Azure DevOps allows you to build, test, and deploy any application in the cloud or on-premises. Learn how to set up build pipelines that continuously build, test, and validate applications.
The following topics are covered in this learning path.
- Collaborate on building apps with Azure Pipelines and GitHub;
- Running automatic tests in the pipeline to check the quality of the code;
- Scanning source code and third-party components for potential vulnerabilities;
- Defining multiple pipelines that work together to build an application;
- Build apps with cloud-hosted agents and your build agents.
Conclusion
Very soon we will share the latest selection from this series. It will be very cool and we hope you enjoy it. And yes, you can still guess what will be in it. The hint is hidden in the table of contents.
*Please note that you may need a secure connection to complete some modules.
Source: habr.com