Azure IoT, Power BI and Sharepoint Online
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This document summarizes Microsoft cloud services for building IoT solutions including Azure IoT Hub, Stream Analytics, Power BI, and SharePoint Online. It provides an overview of each service's key capabilities and uses for IoT scenarios. It also includes a demo architecture diagram connecting the different services and estimates the monthly cost would be around $280 for an IoT solution using Azure IoT Hub, Stream Analytics, Cosmos DB, and other Azure services.
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Presentation about how to leverage the Microsoft Azure technologies to help the IT Pro to execute their daily tasks
AIoT and edge computing solutions
1. The document discusses AIoT and edge computing.
2. It introduces Microsoft's Azure IoT platform and services for connecting, processing, analyzing and acting on IoT data.
3. Edge computing with Azure IoT Edge is described which analyzes data locally on IoT devices to reduce latency and cloud requirements.
Azure serverless computing
Azure Functions enable the creation of event-driven, compute-on-demand systems that can be triggered by various external events. In this session, you will learn
1. How to leverage functions to execute server-side logic
2. Build serverless architectures
3. Key-vault integration
4. Leveraging durable features
5. Hosting web sites
6. Applying dependency injections
7. Monitoring functions
8. Script-based deployment
Azure iot edge and AI enabling the intelligent edge
Marco Dal Pino presented on Azure IoT Edge and AI capabilities at the edge. He discussed Microsoft's IoT product portfolio including Azure Sphere, IoT Edge, IoT Hub, and Edge appliances. Dal Pino also covered built-in AI capabilities like anomaly detection on IoT Edge as well as cognitive services containers. Finally, he demonstrated Nvidia Deepstream running computer vision models on IoT Edge and discussed resiliency, observability, and storage options for IoT Edge deployments.
Tokyo Azure Meetup #4 - Build 2016 Overview
Hello All,
Let's meet and discuss what are the new announcements from Build 2016 and how we can best leverage them in our business!
Here are some of the topics we will cover this time:
- Azure Functions
- Service Fabric
- Azure Storage
- Document DB
- Azure Container Services
- Power BI Embedded
- ASP.NET Core
- Virtual Machine Scale Sets
I will be happy to share my experience from the conference, especially the session I visited and also the conversations I had with various Microsoft representatives.
Azure is developing faster than ever and Microsoft is driving the platform in very interesting direction that require us to know and work with more and more new technologies!
Come and join us to learn more about Azure!
I am arranging the venue but my plan for the meetup is to be on April 25-th or April 27-th from 19:30. I will keep you updated on that!
Thank you!
Kanio
Microsoft & IoT
Session about "Microsoft and Internet of Things" at #NuvolaRosa - Naples (Italy) 12 May 2016
http://www.nuvolarosa.eu/corsi-napoli/
Main Themes:
Internet of Things
Windows 10 IoT Core
Windows Azure Services
Windows IoT Hub
Stream Analytics
Azure Blob Storage
Power Bi
NDC Minnesota 2019 - Fundamentals of Azure IoT
The Internet of Things is not only changing the way that we live, but the way that companies do business. Microsoft is spending billions of dollars on their IoT infrastructure to help support companies with the next generation of the Internet. A generation that involves not only laptops, desktops and smartphones connected on the Internet, but remote assets such as equipment, appliances and products. Learn about the MXChip Kit from Microsoft and how it plugs into the Azure IoT infrastructure so as product, designers we can further understand what's possible when we start connecting our industrial equipment and products.
Power BI Streaming Data Flow e Azure IoT Central
Since 2015, Power BI users have been able to analyze data in real-time thanks to the integration with other Microsoft products and services. With streaming dataflow, you'll bring real-time analytics completely within Power BI, removing most of the restrictions we had, while integrating key analytics features like streaming data preparation and no coding. To see it in action, we will study a specific case of streaming such as IoT with Azure IoT Central.
TechDays 2015 The Azure Sightseeing Tour
The document provides an overview of various Azure services including Blob Storage, Table Storage, Queue Storage, Service Bus, SQL Database, DocumentDB, WebJobs, Virtual Machines, and App Service. It describes the purpose and basic functionality of each service. Key points include that Blob Storage can store files of all types, Table Storage is for structured data, Queue Storage sends and receives messages, and App Service hosts web, mobile, and API apps on Azure.
Back from Microsoft //Build 2018
Du 7 au 9 mai aura lieu la conférence Microsoft //Build, LA conférence des développeurs Microsoft.
A peine le temps de digérer les nombreuses sessions proposées par Microsoft que nos MVP vous présentent une synthèse des principales annonces.
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Office 365 для тех кто боится
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SharePoint Framework (SPFx) — новая модель разработки SharePoint-решений, основанная на создании клиентских страниц и веб-частей, используя современные инструменты веб-разработки такие как npm, Gulp, yeoman, bower и другие. В докладе будет рассказано о том, как создавать решения с помощью SharePoint Framework, о новых инструментах, доступных разработчикам. Мы рассмотрим отличия старой и новой моделей разработки, какие имеющиеся знания об окружении SharePoint можно будет применить в новых условиях, а какие из них окажутся не востребованы.
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SQL has attained widespread adoption, but Business Intelligence tools still use their own higher level languages based upon a multidimensional paradigm. Composable calculations are what is missing from SQL, and we propose a new kind of column, called a measure, that attaches a calculation to a table. Like regular tables, tables with measures are composable and closed when used in queries.
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A talk at SIGMOD, June 9–15, 2024, Santiago, Chile
Authors: Julian Hyde (Google) and John Fremlin (Google)
https://doi.org/10.1145/3626246.3653374
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Azure IoT, Power BI and Sharepoint Online
- 2. A BIG thank you to the 2018 Global Sponsors!
- 3. Azure IoT, Power BI и SharePoint Vitaly Zhukov Microsoft MVP Office Development
- 4. • Обзор решения • Сервисы Azure • Сервисы Office 365 • Архитектура решения • Демо • Сколько это стоит О чём поговорим
- 8. Azure IoT Hub • Device twins • Per-device authentication and secure connectivity • Route device-to-cloud messages • Integrate IoT Hub events (Event Grid) • Monitoring • Azure IoT device SDKs • IoT protocols (MQTT v3.1.1, HTTPS 1.1, AMQP 1.0, custom) Gateway IP capable devices Existing IoT devices Low power devices Azure IoT Hub Agent Agent Agent
- 9. Azure Stream Analytics • Real-Time Analytics • Data-Integration • Data Sources • Monitoring • Visual Studio Tools • Machine Learning INPUT 1 Stream Analytics Machine Learning INPUT 2 INPUT… OUTPUT 1 OUTPUT 2 OUTPUT…
- 10. Stream Analytics. Data Integration Event Hubs Azure SQL database Storage blob Storage table Service bus topicService Bus Queue Cosmos DB Data Lake Store Azure FunctionIoT Hub INPUT OUTPUT
- 11. 0 10 20 30 40 50 60 Stream Analytics. Windowing Events Tumbling [20] Hopping [20,30] Sliding [10]
- 12. Power BI • Reports • Dashboards • Embedded reports
- 13. SharePoint Online • Reports • Dashboards • SharePoint Features
- 14. Архитектура
- 15. Архитектура IoT Hub Stream Analytics SharePoint Cosmos DB Monitor
- 16. Демо
- 17. Архитектура IoT Hub Stream Analytics SharePoint Cosmos DB Monitor
- 19. Сколько это стоит Description Estimated Cost Microsoft Flow 15.000 runs 55$ Azure Cosmos DB 50 GB storage, 4 x100 RUs 45$ IoT Hub Standard Tier, S1: Unlimited devices, 400,000 msgs/day, $25.00/mo, 4 Units; IoT Hub Device Provisioning: 5,000 Operations 100$ Stream Analytics 1 unit(s), 730 Hours 80$ Support 0$ Monthly Total 280$
Editor's Notes
- Пример реального end-to-end решения с применением Azure IoT Hub и Azure Stream Analytics для получения, трансформации и управляемой передачи данных, Azure Data Lake для хранения, Power BI для анализа и SharePoint Online для создания корпоративного IoT портала.