Applied Azure Internet of Things (IoT) Scenarios with Real Time R Analysis by Noam Arnold

In this session, Noam presents approaches to building IoT architectures in Azure. He teaches us the lessons that they learned in real-world large scale IoT customer projects and how they dealt with the challenges that came up. The second part of the presentation covers how Data Science approaches can be used to analyze the real time data using R and stream analytics.

Speaker: Noam Arnold, Trivadis AG
Noam started his career in IT after he finished his studies in mathematics at UZH. He works as a Business Intelligence consultant at Trivadis and has a strong focus on Sql, Mdx, PowerPivot, Power BI and Data Science in the Microsoft Azure Cloud.

Transcript

1. BASLE BERN BRUGG DÜSSELDORF FRANKFURT A.M. FREIBURG I.BR. GENEVA HAMBURG COPENHAGEN LAUSANNE MUNICH STUTTGART VIENNA ZURICH Applied Azure Internet of Things Scenarios with Real Time R Analysis Noam Arnold Azure Data Science Night 26.10.2017 http://www.azurezurichusergroup.com
2. Agenda 27.10.2017 1. How it started ... 2. The IoTgate 3. Customer Stories 4. Data Science
3. 27.10.2017 How it started ...
4. "Collecting data and providing it for further utilization is one of the major challenges in the energy sector. The use of IoT technology allows us to build customer- and near-time solutions which are cost- effective, powerful and expandable.“ René Frei, Head of ICT, Industrielle Werke Basel 27.10.2017
5. 27.10.2017
6. Challenge Devices Sources Business Applications 27.10.2017
7. intelligent asset management (IoT Windpark) 27.10.2017
8. Findings - Solarpark 27.10.2017
9. Findings – Windturbine foundation 27.10.2017
10. 27.10.2017
11. Findings – Windfarm gearbox failure 27.10.2017
12. Gridbox exchange 27.10.2017
13. 27.10.2017
14. 27.10.2017
15. gate 27.10.2017
16. measure send Live Power BI Dashboard Azure SQL DB Azure Data Lake Pull Push collect buffer Stream Analytics Push distribute transform archive illustrate Power BI / Excel Pull Pull analyse Machine Learning Pull & Push Event Hub Push Pull Application IoT Hub Push Writeback Event Hub Push Pull MDS Meta-data management Devices 27.10.2017
17. Demo: Reporting Cockpit 27.10.2017
18. 27.10.2017 Customer Projects
19. Smart City IoTgate Lärmmessungen Grundwasser Wasser - Labordaten 27.10.2017
20. IoT @ gas stations & fuel tanks 27.10.2017 1 pro h 8:00 Uhr disponiert
21. IoT @ gas stations & fuel tanks IoTgate 27.10.2017 15 min. Takt
22. 27.10.2017
23. 27.10.2017
24. IoT @ gas stations & fuel tanks IoTgate 27.10.2017
25. IoT @ gas stations & fuel tanks IoTgate 27.10.2017 Sekunden Takt?
26. 27.10.2017 Data Science With Microsoft Azure
27. 27.10.2017
28. 27.10.2017
29. 27.10.2017
30. 27.10.2017
31. 27.10.2017
32. April 6, 2015 “This acquisition will help customers use advanced analytics within Microsoft data platforms.“
33. Agenda On Premises Cloud Desktop Server Power BI R Studio R Tools for Visual Studio Power BI R Server SQL Server R Services Azure ML
34. Agenda On Premises Cloud Desktop Server Power BI R Studio R Tools for Visual Studio Power BI R Server SQL Server R Services Azure ML
35. Agenda On Premises Cloud Desktop Server Power BI R Studio R Tools for Visual Studio Power BI R Server SQL Server R Services Azure ML
36. measure send Live Power BI Dashboard Azure SQL DB Azure Data Lake Pull Push collect buffer Stream Analytics Push distribute transform archive illustrate Power BI / Excel Pull Pull analyse Machine Learning Pull & Push Event Hub Push Pull Application IoT Hub Push Writeback Event Hub Push Pull MDS Meta-data management Devices 27.10.2017
37. measure send Live Power BI Dashboard Azure SQL DB Azure Data Lake Pull Push collect buffer Stream Analytics Push distribute transform archive illustrate Power BI / Excel Pull Pull analyse Machine Learning Pull & Push Event Hub Push Pull Application IoT Hub Push Writeback Event Hub Push Pull MDS Meta-data management Devices 27.10.2017 Machine Learning
38. Questions & Anwsers ... Noam Arnold noam.arnold@trivadis.com 27.10.2017