Category: Microsoft

Welcome to another Azure Content Spotlight! These articles are used to highlight items in Azure that could be more visible to the Azure community.

This week’s content spotlight is about Azure Service Fabric Mesh, which is now in preview. Azure Service Fabric Mesh offers a fully managed service for developers to deploy microservices applications without managing the infrastructure, like storage, networking or virtual machines. It consists of clusters of thousands of machines and all of the cluster operations are hidden from the developer.

You can watch the Azure Friday video about Service Fabric Mesh below:

for more information, you can refer to the following websites:

• Azure Service Fabric Mesh documentation
• Azure Service Fabric Mesh samples

 

-Sjoukje

Welcome to another Azure Content Spotlight! These articles are used to highlight items in Azure that could be more visible to the Azure community.

This week’s content spotlight is about the Video Indexer . The Video Indexer is part of the AI offering of Microsoft and offers an application and platform built upon media AI technologies. It offers features to extract insights from video and audio files, which uses the Speech to Text API of Cognitive Services. It creates a transcript based on the speech appearing in the video or audio file, which can be translated into an impressive amount of languages.

Want to learn more about all the capabilities and features that the Video Indexer has to offer? You can refer to the following article on the Azure Blog:https://azure.microsoft.com/en-us/blog/get-video-insights-in-even-more-languages/ , or navigate to the Video Indexer site directly:https://vi.microsoft.com/en-us/ 

See below an image of how a Dutch transcript looks like in the Video Indexer:

Welcome to another Azure Content Spotlight! These articles are used to highlight items in Azure that could be more visible to the Azure community.

This week’s content spotlight is about Microsoft Research Open Data , a new data repository in the cloud dedicated to facilitating collaboration across the global research community. It offers datasets representing many years of data research which were used in published research studies. Microsoft Research Open Data is an outcome of the Microsoft Research Outreach Data science program and was made possible by a collaboration between many teams at Microsoft, Microsoft researchers, academic advisors, and various industry partners.

The goal of this platform is to share datasets and other research related tools with Microsoft researchers and collaborators. Datasets can easily be accessed and the platform provides datasets of state-of-the-art research in areas such as natural language processing, computer vision, and domain specific sciences. This datasets can be downloaded or copied directly to a cloud-based Data Science Virtual Machine from the portal.

See below the different dataset categories:

Welcome to another Azure Content Spotlight! These articles are used to highlight items in Azure that could be more visible to the Azure community.

This week’s content spotlight is about some tips & tricks for Azure Cosmos DB.

The first one is about Horizontal Partitioning in Azure Cosmos DB , an Azure Friday video from Channel 9. This video will cover how to partition your data in Azure Cosmos DB, will give you best practices for choosing a partition key, and how to troubleshoot bad partition key choices. For more information about Partition and scale in Azure Cosmos DB, you can refer to the following site: https://docs.microsoft.com/en-ca/azure/cosmos-db/partition-data. 

The second one is about Tips for using the Gremlin API with Azure Cosmos DB . Gremlin is the traversal query language for Cosmos DB graph and for writing efficient Gremlin queries, knowledge of the graph structure and the query execution plan is required. In this video you will learn how to structure a Gremlin query, and what the best practices are, and you will get tips & tricks to get the best performance. For more information about the Graph API for Cosmos DB, you can refer to the following website: https://docs.microsoft.com/en-ca/azure/cosmos-db/graph-introduction. 

You can watch the videos over here:

 

• https://channel9.msdn.com/Shows/Azure-Friday/Horizontal-Partitioning-in-Azure-Cosmos-DB
• https://channel9.msdn.com/Shows/Azure-Friday/Tips-for-using-the-Gremlin-API-with-Azure-Cosmos-…

-Sjoukje