Azure Stream Analytics is a fully managed PaaS offering that enables real-time analytics and complex event processing on fast moving data streams. Thanks to zero-code integration with over 15 Azure services, developers and data engineers can easily build complex pipelines for hot-path analytics within a few minutes. Today, at Inspire, we are announcing various new innovations in Stream Analytics that help further reduce time to value for solutions that are powered by real-time insights. These are as follows:
Bringing the power of real-time insights to Azure Event Hubs customers
Today, we are announcing one-click integration with Event Hubs. Available as a public preview feature, this allows an Event Hubs customer to visualize incoming data and start to write a Stream Analytics query with one click from the Event Hub portal. Once the query is ready, they will be able to operationalize it in few clicks and start deriving real time insights. This will significantly reduce the time and cost to develop real-time analytics solutions.
One-click integration between Event Hubs and Azure Stream Analytics
Augmenting streaming data with SQL reference data support
Reference data is a static or slow changing dataset used to augment real-time data streams to deliver more
We recently spent time with Mesh Systems, a Microsoft Gold Cloud platform partner based in Carmel, Indiana, to understand what a day in the life of an Azure IoT partner looks like. They shared some of their recent IoT customer engagements and talked about the types of everyday challenges Azure IoT partners face like building an IoT solution with legacy endpoints, how to approach tracking assets through a supply chain, and integrating an IoT solution with a business application. Finally, we discussed what best practices have driven the success of their IoT practice.
Connected coffee: building an IoT solution with legacy endpoints
Mesh’s experience in the beverage category caught the interest of a large European company that provides coffee beans and routine maintenance to thousands of coffee machines. The company wanted to innovate by providing their bean supplier with robust consumption data using an IoT solution.
But there was a catch. The company managed machines made by many different manufacturers across many different classes of machines. It would be cost prohibitive to build a custom integration for each machine type. There was no way to connect them to the cloud without expensive rework.
“This is a typical brownfield use
If you want to solve a business problem using a computer, you have to connect to it. The furthest point at which you can connect the “edge” has always been a major frontier of computing. In the 1950s, the edge was where you were close enough to feed punch cards into a computer.
As computers got smaller and cheaper, networking expanded access, and the edge spread beyond centralized computing hubs. Today, mobile connectivity and the cloud have pushed the edge further. Consumers and businesses have anytime access to virtually unlimited computing power. We have the ability to connect billions of small devices, creating an Internet of Things. And we’re starting to see IoT scenarios that demand bringing the computing power to the problem.
That’s where the autonomous edge comes in. In Make Room for The Autonomous Edge in Your IoT Strategy, Forrester defines the autonomous edge as “A family of technologies that distributes application data and services where they can best optimize outcomes in a growing set of connected assets. It includes edge infrastructure and edge analytics software.”
In other words, it brings intelligence to where the problem is. The decisions and actions in autonomous edge computing happen out in
Throughout our Internet of Things (IoT) journey we’ve seen solutions evolve from device-centric models, to spatially-aware solutions that provide real-world context. Last year at Realcomm | IBcon, we announced Azure IoT’s vision for spatial intelligence, diving into scenarios that uniquely join IoT, artificial intelligence (AI), and productivity tools. In the year since, we’ve progressed this vision by introducing new services designed to help enterprise customers across industries optimize the management of their spaces. Across Azure, Dynamics, and Office, Microsoft continues to accelerate results from a growing and diverse set of partners creating smart building solutions on our industry-leading enterprise platform.
This year we’ve returned to Realcomm | IBcon, joined by over 30 partners who have delivered innovative solutions using our spatial intelligence and device security services to provide safety to construction sites, operate buildings more efficiently, utilize space more effectively, and boost occupant productivity and satisfaction. Here we’ll tell you more about a selection of these smart building partners who are accelerating digital transformation in their industries.
IoT is an invaluable part of the smart building lifecycle, even before the building comes to fruition. On construction sites, it’s imperative for companies to prioritize employee safety while ensuring the job
With many IoT solutions connecting thousands of hardware endpoints, fixing security issues or upgrading functionality becomes a challenging and expensive task. The ability to update devices is critical for any IoT solution since it ensures that your organization can respond rapidly to security vulnerabilities by deploying fixes. Azure IoT Hub provides many capabilities to enable developers to build device management processes into their solutions, such as device twins for synchronizing device configuration, and automatic device management to deploy configuration changes across large device fleet. We have previously blogged about how these features have been used to implement IoT device firmware updates.
Some customers have told us they need a turn-key IoT device update manager, so we are pleased to share a collaboration with Mender to showcase how IoT devices connected to Azure can be remotely updated and monitored using Mender open source update manager. Mender provides robust over-the-air (OTA) update management via full image updates and dual A/B partitioning with roll-back, managed and monitored through a web-based management UI. Customers can use Mender for updating Linux images that are built with Yocto. By integrating with Azure IoT Hub Device Provisioning Service, IoT device identity credentials can be shared between Mender
There is a lot more data in the world than can possibly be captured with even the most robust, cutting-edge technology. Edge computing and the Internet of Things (IoT) are just two examples of technologies increasing the volume of useful data. There is so much data being created that the current telecom infrastructure will struggle to transport it and even the cloud may become strained to store it. Despite the advent of 5G in telecom, and the rapid growth of cloud storage, data growth will continue to outpace the capacities of both infrastructures. One solution is to build stateful, data-driven applications with technology from SWIM.AI.
The Azure platform offers a wealth of services for partners to enhance, extend, and build industry solutions. Here we describe how one Microsoft partner uses Azure to solve a unique problem.
Shared awareness and communications
The increase in volume has other consequences, especially when IoT devices must be aware of each other and communicate shared information. Peer-to-peer (P2P) communications between IoT assets can overwhelm a network and impair performance. Smart grids are an example of how sensors or electric meters are networked across a distribution grid to improve the overall reliability and cost of delivering
Each quarter, the Azure Sphere team works to open new scenarios to customers through new features on-chip and in the cloud. The Azure Sphere 19.05 release continues this theme by unlocking the real-time capable cores that reside on the MT3620. Co-locating these cores within the same SOC enables new, real-time scenarios on the M4 cores while continuing to support connectivity scenarios on the high-level core. This release also introduces support for DHCP-based Ethernet connections to the cloud.
We are also pleased to announce that the Azure Sphere hardware ecosystem continues to expand with new modules available for mass production and new, less expensive development boards. Finally, new Azure Sphere reference solutions are available to accelerate your solution’s time to market.
To build applications that take advantage of this new functionality, please download and install the latest Azure Sphere SDK Preview for Visual Studio. All Wi-Fi connected devices will automatically receive an updated Azure Sphere operating system that contain support for these new features.
Enabling new MT3620-based features Real-time core preview—The OS and SDK support development, deployment, and debugging SPI, I2C, GPIO, UART and ADC real-time capable apps on the MT3620’s two M4 cores. GitHub sample apps show GPIO, UART, and