For my second contribution to this year’s Azure Back to School, I’m presenting a video recording of my introductory session to Microsoft’s Azure Data Factory. It’s a fantastic tool for moving and manipulating huge blocks of data. BarretHusband, father, gamer, developer, manager, writer, creative, blogger, model railroader, Buckeyes fan
For those of you who missed it yesterday, you can catch one of my two Azure Back to School sessions below. BarretHusband, father, gamer, developer, manager, writer, creative, blogger, model railroader, Buckeyes fan
As you gain more experience as a developer, you soon realize the importance of good logging for your applications. When an app is small, you can get away with console logging, print statements, etc. But once your app reaches any real size or functionality, especially as you reach your MVP … Read more
I found myself needing to create an Azure Hybrid connection from a web application hosted on Azure to a WebAPI application hosting on a server inside a company network. I kept running into one issue that was preventing me from successfully creating my connection. If you find, like me, that no matter what you try, your Hybrid connection just keeps telling you ‘Not Connected’, there’s one thing you should check in your installed Windows Features list.
This time, in our continuing adventures with Microsoft Flow and the Azure Cognitive Services Computer Vision API, we’re using the Vision API to tag image files. The flow will pass the Vision API image files from OneDrive and update the image files with the list of auto-generated meta tags the service returns to us.
Last time we looked at generating thumbnail images via the Vision Service. This time we’re going to look at using the service to get text out of a photograph of a document utilizing the the Vision Service’s Optical Character Recognition (OCR) process.
One of the most universal pieces of any company website is the ‘Contact Us’ page. There are countless ways this is handled. At the simplest it can just open a mailto link. Sometimes there’s an inline form of some sort that feeds into some app somewhere. A lot of times it will require someone along the process to take the data from that form and copy/paste it into the whatever Customer Relationship Management system the company uses.
I’m a dev. I just make apps. I only deal with customers when something breaks and my support teams can’t fix it. They’re just an annoyance, right? Wrong. I’m going to show you how Azure Cognitive Services Text Analytics Sentiment Analysis can help you retain customers and look good while you’re doing it.
C# Advent Calendar 2017 – Using C# and Azure Cognitive Services Text Analytics to Identify and Relate Text Documents
One of the tasks that developers sometimes face in large companies (or even small ones) is trying to figure out how large sets of data relate to each other. If that data is text based, C# and Microsoft Azure Cognitive Services Text Analytics functions make this extremely easy to accomplish. In this post, I’ll walk through identifying language and parsing out key words and phrases that we can use to help match blocks of text together.
If you work with multiple related projects that exist in separate solutions, one of the more useful features of Visual Studio Team Services is the ability to easily implement private NuGet feeds. This service lets you keep development of various pieces more separate and yet still make it easy to integrate your private libraries into your other applications.