Starting with Visual Studio 16.6 Preview 2 the Connected Services tab offers a new experience called Service Dependencies. You can use it to connect your app to Azure services such as Azure SQL, Storage, Key Vault and many others. Wherever possible local emulation options are also available and more are planned for the future.
In the 2nd article of the series for Azure Data Lake Analytics, we will use Visual Studio for writing U-SQL scripts.
Azure Data Lake stores the unstructured, structured, and semi-structured data in the Azure cloud infrastructure. You can use Azure portal, Azure Data Factory(ADF), Azure CLI, or various other tools. In the previous article, An overview of Azure Data Lake Analytics and U-SQL, we explored the Azure Data lake Analytics using the U-SQL script.
In this article, we will understand U-SQL scripts and executing them using Visual Studio.
U-SQL is known as a big data query language, and it combines the syntax similar to t-SQL and the power of C## language. You can extract, transform data in the required format using the scripts. It has few predefined extractors for CSV, Text, TSV for extracting data from these formats. Similarly, it allows you to convert the output to your desired format. It offers big data processing from gigabyte to petabyte scale. You can combine data from Azure Data Lake Storage, Azure SQL DB Azure Blob Storage, Azure SQL Data Warehouse.
You can develop and execute the scripts locally using Visual Studio. Later, you can move your resources to the Azure cloud. This approach allows you to save the cost for Azure resources ( compute and storage) because in the Visual Studio, it does not cost you for the executions.
To use these scripts in the Visual Studio, you should have _the _Azure Data Lake and Stream Analytics Tools installed. You can navigate to Visual Studio installer -> Workloads-> Data Storage and processing -> Azure Data lake and Stream Analytics.
Launch the Visual Studio 2019 and create a new U-SQL project. You get a few other templates such as Class Library, Unit Test project and sample application as well. We will work with a project template that creates a project with your USQL scripts.
#azure #sql azure #visual studio #azure data lake analytics #visual studio #u-sql
(skip this step if you already have existing Web App)
2. Create a Web App using App Service on Azure Portal.
3. Publish your web app to Azure App Service.
2. In Search Bar Type asp and select ASP.NET Web Application(.Net Framework) then click Next
3. Write your Project Name and Select Location then click on Create.
4. Create a New ASP.NET Web Application > Create.
5. You have successfully created your web application, you can Test by Clicking on IIS Express.
2. In App Services Click on Add
3. in create Web App select Resource Group, Name, Publish, Runtime Stack, Operating System, Region, and Size :
4. Next: Monitoring > Next: Tags > Next : Review+Create > Create
5. Deployment being Start. After Complete Deployment >Go to Resource
Here you can see the Overview of your Created App Service.
#web-app-services #azure #visual-studio #developer #deployment #visual studio code
We’re continuing our series on building HTTP APIs with .NET 5. In the first post in this series we talked about building well-described APIs using OpenAPI, and then followed that up taking a deeper dive into some of the open-source tools and packages you can use to make your HTTP API development easier. In this post, the third in the series, we’ll talk about how Visual Studio Connected Services gives you a convenient way of generating .NET clients for your HTTP APIs so your .NET apps can use the APIs via the Internet. Let’s get right to it!
#.net core #asp.net #visual studio #asp.net web api #generating http api clients using visual studio connected services #http api
UPDATE: The book giveaway challenge is complete. We will be announcing winners on the Visual Studio blog within the next week. Thank you for your submissions!
Visual Studio is an amazing development tool. But Visual Studio and Visual Studio for Mac are more than just intuitive, state-of-the-art development environments. They’re also remarkably powerful learning and exploration tools, with features to help you create and understand your code. I love teaching and learning about C## with Visual Studio. That’s why my co-author, Jenny Greene, and I put Visual Studio and Visual Studio for Mac right at the center of our latest book, _Head First C# _(4th edition), published by O’Reilly Media. _Head First C# _incorporates Visual Studio directly in the learning. combining Visual Studio with the unique and innovative “brain-friendly” Head First approach to teaching helps us make learning C## easier and more fun for our readers.
#visual studio #c# #unity #visual studio 2019 for mac #visual studio for mac
Develop, Build, Deploy applications using .NET 5, CI/CD, Azure App Service, Azure SQL Database, Azure Storage Account.
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