“Stream processing” i.e. the capability of monitoring real-time data
coming from connected devices and taking action while any alarming patterns are
detected is an imperative for IoT solutions. At the level of IoT, you need a
robust and scalable solution; Microsoft Azure developers can tap the
newly announced features of Azure Stream Analytics to turbocharge your
solutions.
Azure Stream Analytics is a real-time event processing engine that
leverages years of Microsoft result to help you unlock the deep insights from
data. It is fully managed and at the same time cost effective to help you
transform your business with IoT:
Leverage built-in geospatial functions
Pioneered by NASCAR, more than 100 other customers are already using geospatial capabilities in preview to build solutions for scenarios such as fleet management, connected car and mobile asset tracking with substantial ease. Moreover, these capabilities can be used to evaluate incoming geospatial data to keep under control, define geographical areas, overlap and proximity, kick start essential workflows, and also to generate alerts.Richer custom code support for JavaScript user defined functions
Now implementation of more advanced scenarios is
made possible by offering support for expressive custom code. You can use this
feature to write your custom code in JavaScript and invoke these user defined
functions as a part of your real-time Stream Analytics query.
See Also : Accelerate Your Pace to the Cloud and Move Your Business Forward
See Also : Accelerate Your Pace to the Cloud and Move Your Business Forward
Job diagnostics logs
This enhances the
self-service troubleshooting experience by allowing users to deal with lost,
late or malformed data in a systematic way. Moreover, it also enables
investigation of errors caused by bad data through efficient mechanisms.
Low-latency dashboarding enabled with Power BI
An improved experience is
offered by low-latency dashboard for solutions developed using Azure Stream
Analytics. Now high-volume Azure Stream Analytics jobs can be output to the new
Microsoft Power BI streaming datasets with notably lower latency.
Integration of Visual Studio tools with Azure Stream Analytics
Public preview of Azure
Stream Analytics tools for Visual Studio is made available in order to make
possible the maximization of end-to-end developer productivity. This in turn
would enable fast delivery of Microsoft development services.
View more information on Outsourcing Software Utvikling Norway, Software Utvikling Specialist and Microsoft .Net Web Utvikling Company.
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3 comments
commentsThanks for sharing information about Internet of Things.
ReplyInternet of Things Technology and Solutions
Thanks for sharing this with us, this blog is really useful for Microsoft Azure specialist
ReplyPeople analyticsis a new approach to look at data about employees. This data comes from HRIS systems, performance management systems, and other sources, and can be used to improve overall employee engagement and retention. While HR has been using data to help with hiring and other HR functions for many years, it’s now becoming more widespread and moving beyond HR. In a world where data from every interaction with customers is being collected, being able to analyze the data and use it to improve how people work together is more important than ever.
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