Scott Hanselman talks to Kirill Gavrylyuk  to find out what’s new in Azure Cosmos DB, such as the Cassandra API for applications that are written for Apache Cassandra, updates to the Azure Table storage API, the Apache Spark Connector, the Graph API, partitioned collections, 99.999% (five 9s) SLA, and more.

 

  

John Spaith is lead developer on the C SDK for Azure IoT. In the video below, watch him and Olivier Bloch go through the SDK usage and portability for IoT devices running Linux, Windows or real time OSs as well as microcontrollers.

Learn about the General Availability release of Azure Bot Service and Language Understanding service, the two top-notch AI services to create amazing conversational AI experiences.

Find out how to get started easily with Azure Bot Service to create a bot using out of box templates such as the Language Understanding template, and reach your audience with multiple supported channels.

 

Links & More information

Watch this video to get an introduction to the new Cassandra API for Azure Cosmos DB

This new API allows you to move your existing Cassandra applications to Azure Cosmos DB without modifying a single line of code.

Watch and learn how to take advantage of this fully managed globally distributed database service with limitless scale.

Dave Fellows explains the Azure Batch Rendering, which is built on the Azure Batch service to provide capabilities for rendering 3D graphics for film and other visual media projects.

This is truly an idea whose time has come. Given the raw compute power of the cloud, there’s no reason that it can’t be turned into a giant render farm to make video rendering projects go faster without having to break the bank on a pricey desktop.

When I say pricey, I mean something to the tune of $15,000. Yeah, those desktops exist.

Check out the PC that Ryan from Film Riot spec’d out.

For more information, see:

Veljko Vasic explains how Azure SQL Database uses built-in intelligence to continuously monitors database usage so that it can detect disruptive events that cause poor performance.

Once detected, a detailed analysis is performed generating a diagnostic log with an intelligent assessment of the issue, which consists of a root cause analysis of the database performance issue and recommendations for performance improvements where possible (i.e., intelligent insights).

For more information, see: