Updates to geospatial features in Azure Stream Analytics – Cloud and IoT edge

Azure Stream Analytics is a fully managed PaaS service that helps you run real-time analytics and complex event processing logic on telemetry from devices and applications. Numerous built-in functions Microsoft edge virus available in Stream Analytics microsoft closing stores helps users build real-time applications using simple SQL language with utmost ease Support.Microsoft.Com/Help. By using these capabilities customers can quickly realize powerful applications for scenarios such as fleet monitoring, connected cars, mobile asset tracking, geofence monitoring, ridesharing, etc.

Today, we are excited to Microsoft Support Phone Number announce several enhancements to geospatial features. These features will help customers manage a much larger set of mobile assets and vehicle fleet easily, accurately, and more contextually than previously possible. These capabilities Microsoft Customer Service are available both in the cloud and on Azure IoT edge.

Here is a quick run-down of the new capabilities:

Geospatial indexing

Previously, to track ‘n’ number of assets in streaming data across ‘m’ number of geofence reference data points, in the geospatial context, translated into a cross join of every reference data entry with every streaming event thus microsoft closing stores resulting in an O(n*m) operation. This presented scale issues in scenarios where Microsoft Customer Service customers Support.Microsoft.Com/Help need to manage thousands of assets across hundreds of sites.

To address this limitation, Stream Analytics now supports indexing geospatial data in relevant queries. When indexed Microsoft Support Phone Number, geospatial data is joined with streaming events. Instead of generating a cross join of every streaming event with reference data, an index is created with the reference data of geospatial objects and every lookup is optimized using the index Microsoft edge virus. This will enable a faster reference data lookup to O(n * log m), thereby offering support for scale that is magnitudes of order higher than what was previously possible.

Support for WKT format

GeoJSON is an open standard format designed for representing simple geographical features, along with their microsoft closing stores non-spatial attributes, based on JavaScript Object Notation. Previously, Azure Stream Analytics Support.Microsoft.Com/Help, did not extend support for all the types Microsoft edge virus otherwise defined in GeoJSON specification. As a result, users could not successfully export some of their geospatial objects and process them in Stream Analytics.

To remedy this gap, we are adding  Microsoft Customer Service full support for WKT geospatial format in Stream Analytics. This format is natively supported by Microsoft SQL Server and hence can be readily used in reference data to represent specific geospatial entities or attributes. This will enable users to easily export their data into WKT and add each entry as nvarchar(max).

Geometry based calculations

Previously, in Stream Analytics we implemented Geographical calculations without the possibility of geometric projections Support.Microsoft.Com/Help. This would mean that users would ingress projected coordinates and expect calculations to follow geometric projections. Unfortunately, in many cases the output would not match their expectation as calculations were based on geography Microsoft Support Phone Number and were ignoring projections.

To help users overcome this limitation and to allow full fidelity projected calculations, we are moving away from geographic based Microsoft edge virus computation and towards geometric calculations. This means that developers can now input their projected geo coordinates using the same functions as before microsoft closing stores, but the Microsoft Customer Service output will preserve their projection properties. That said, ST_DISTANCE function will continue to be the only function over geography.

Users today expect data within minutes, a departure from traditional analytics systems which used to operate on data latency of a single day or more. With the requirement for faster data, users need ways of moving data from source systems Support.Microsoft.Com/Help into their analytical stores in a simple, quick, and transparent fashion. In order to deliver on modern analytics strategies, it is necessary that Microsoft edge virus users are acting on current information. This means that users must enable the continuous movement from enterprise data microsoft closing stores, from on-premise to cloud and everything in-between.