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This was European Collaboration Summit 2019

The European Collaboration Summit (ECS), also known as #collabsummit, is the largest community-driven conference in the world with a focus on modern workplace technologies and digital transformation. Experts from around the world informed about topics such as Microsoft 365, Azure, SharePoint, AWS, business apps and more. We were happy to be part of that great event in May 2019 in Wiesbaden, Germany. See some impressions here.

Enjoyed SharePoint Conference 2019

Last week, the SharePoint Conference returned to Las Vegas! #SPC19 took place from May 21 - 23, 2019 at the brand-new MGM Grand conference center, Las Vegas, Nevada. The event informed about the latest news in SharePoint, OneDrive, Yammer, Microsoft 365 and Azure. We from atwork were proud to deliver a full day workshop about Security and Governance in Microsoft 365 and some sessions. See some impressions of SPC19 here!

Get the Microsoft Graph g-raph stickers

If you are a Microsoft 365 developer, you will be working with the Microsoft Graph to access data in the cloud. Of course, every product needs a mascot. So, the Microsoft Graph team created their own mascot recently: The Microsoft Graph g-raph (giraffe). Get the artwork for the Microsoft Graph g-raph here!

#MSBUILD 2019 News

This week, from May 6-8, Microsoft BUILD conference is happening near Microsoft´s home in Seattle, WA. With about 6000 people from around the world, BUILD is Microsoft´s largest yearly developer conference. This year, we learned tons of news, and the best part is, you get the content for free and you can find a complete guide of all news announced at Build here.

Groups Governance Toolkit-Working with group policies

At Microsoft Ignite conference last September, we demoed an approach for a self-built Office 365 Groups Governance Toolkit. Since Microsoft 365 is an evergreen service and continues to evolve, today we have more group settings available and we extend our provisioning function to work with group naming policies as well. See here how this can be accomplished by including new Graph requests.

Tips for PowerApps-Working Offline with PowerApps

PowerApps provide a good solution for small apps. They run on a device and connect to an online data source. But what happens if no data connection is available, for instance in a building? Well, you can develop a PowerApp that works offline and synchronizes local data to the data source when you're back online. See how this works here!

Groups Governance Toolkit Part 6-Groups statistics

To apply governance in an organization, the responsible persons require data. See here, how we can get group data of an Office 365 tenant for further use, for example for a visualization with Microsoft Power BI and all the benefits of such an attractive and interactive tool.

Groups Governance Toolkit Part 5-External Guests

Governance specifies the rules for an organization. The Office 365 collaboration platform allows to invite external users for contributing in groups. In this part, we want to monitor all groups that have external guests and inform the group owners, who has access to a group or a team. See how this works here.

Secure a web on Azure with an Azure Active Directory Multi-Tenant App

Azure offers a great platform for multiple types of apps and services, Web Apps are one of the PaaS service, we are using much. In some scenarios, it makes sense to host a static website on Azure, but to restrict access just for authenticated users. Well, AAD can help you with that by demanding a successful login with an Office 365 account. See how this works here.

Working with the new Azure PowerShell Az module

PowerShell is both a command-line shell and scripting language and perfect for automating administrative tasks. When working with Microsoft Azure, Microsoft recommends to use the new Azure PowerShell Az module. See how to uninstall the outdated Azure PowerShell AzureRM , how to install the new Az module for PowerShell 5.x and 6.x and how to connect and to get a inventory of your resources and a little bit of Cloud Shell here.

Detect sentiment with Text Analytics

Azure Cognitive Services offer a bunch of services. One is the Sentiment Analysis API that allows to analyze unstructured text for tasks such as sentiment analysis based on Microsoft machine learning algorithms. See the first steps how to use that here.The test works in the same way with Postman as in the previous article.The goal here is to analyze some text to get a positive or negative result of the meaning.So, we just need some Azure logic and a tool to send and get the data. How to detect sentiment with Text Analytics informs about the service we want to consume. Again, we need to create a new Cognitive Service and to get our own access data from the Azure Portal. Once created, we get that data in the service overview and in the keys menu.Then, calling the Computer Vision API is easy: We need a HTTP POST request against the API and modify just the region and the subscription key.https://<region>.api.cognitive.microsoft.com/analytics/v2.0/sentiment?subscription-key=<subscription-key>So, my sample starts with https://westeurope.api.cognitive.microsoft.com/analytics/v2.0/sentiment...In Postman, we just create a new POST request with that URL and some parameters as here:As Headers we add a key "Content-Type" with value "application/json" and the body text that shall be uploaded with that post.As defined, the data we want to submit can be formatted JSON type, as here. First, there's a positive, then there's a negative text, in english language.{         "documents": [             {                 "language": "en",                 "id": "1",                 "text": "We love this trail and make the trip every year. The views are breathtaking and well worth the hike!"             },             {                 "language": "en",                 "id": "2",                 "text": "Poorly marked trails! I thought we were goners. Worst hike ever."             }         ] }See Language and region support for the Text Analytics API for more info.When clicking on the "Send" button, the request should be sent to the API. After some seconds of analyzing, the result will be shown as body, similar as here. Here's the output in JSON format.{     "documents": [         {             "id": "1",             "score": 0.92014169692993164         },         {             "id": "2",             "score": 0.05087512731552124         }     ],     "errors": [] } The return data says, that the first text with id 1 is positive (92%), the second text with id 2 is very negative (5%). A neutral value would be 0.5 (50%). Happy analyzing your text with the Sentiment Analysis API!