Azure Logic Apps are Enterprise Integration Service and as such their main purpose is orchestration, integration and scheduling of tasks in a simple way. With easy to use user interface, no coding design and powerful extensibility you can easily integrate services in minutes.
How to start with Azure at no cost? Where to learn and practice Azure? Which subscription is the best for me? Are there any services for free to use? I’m preparing for certification, are there any labs I can practice on? Those are typical questions asked by a lot of IT specialists every day. This article puts anyone on the right track.
Data factory is currently go-to service for data load and transformation processes in Azure. In this article a common scenario of refreshing models in Azure Analysis Services will be implemented using ADF components including a comparison with the same process using Azure Logic Apps.
In 2017 asynchronous refresh API was released for Azure Analysis Services which allows users to refresh their models with simple REST calls. This allows for easy integration with their orchestration solutions. Learn how to build very simple logic apps and manage Azure Analysis Services refresh schedule.
Integration with on premises environments is one of more common cloud scenarios. Learn how to set up and Analysis Services hybrid environment with use of On-Premises Data Gateway.
Check out how to leverage Azure Blob Storage and Logic Apps for simple scenario of data loading from CSV into Azure SQL in less than 30 minutes and with almost no coding.
Proper set up of environment is one of most important things during development. Leverage ngrok tunneling service to speed up development process.
Storing data is key aspect of every application out there. Learn how to use Azure Cosmos DB with .NET Core to deliver CRUD operation capabilities to application of any kind, and how to handle those operations in real time on front-end using Vue.js.
Building brand visibility requires a lot of effort. Analysis of social media reactions is key aspect of this process. With Azure Cognitive Services Text Analytics API companies can start analyzing feedback right away with ease.
Driving user conversations is key for any successful bot. By leveraging bot framework’s rich cards in conversations developers can enrich user experience by allowing them to interact with bots without need of a typing.