Getting started with azure event hubs and stream analytics services
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Author: Vladimir Bychkov, www.eastbanctech.com The total amount of data in the world almost doubles every 2 years. Storing data for offline processing is no longer a viable business model. In the past few years, new technologies for real-time data processing emerged. Microsoft Azure offers a comprehensive set of tools to ingest and process data in motion. In this presentation we will go over and learn how to collect data from devices, how to process data in real time using Azure Stream Analytic jobs, and how to produce and handle actionable insights.
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Apidays Paris 2023 - How to Master the Lifecycle of your APIs, Ivan Frain, Su...
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Susan Vrona Bejina, Cloud transformation Senior Manager at PwC France et Maghreb
Theotime Macrez, Cloud Transformation Senior Associate at PwC France et Maghreb
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- 3. Processing streaming data – use cases • Automotive - fleet tracking, operations telemetry • Medical - vital signs, fitness and health monitoring • Meteorology - weather and environmental data • Software - applications performance and instrumentation data • Home automation – energy efficiency, home security • Agriculture/farming – crops and cattle monitoring
- 5. End-to-end stream processing architecture
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- 7. Azure Service Bus Source: https://channel9.msdn.com/Events/TechEd/Europe/2014/CDP-B307
- 8. Azure Event Hub Cloud Services Storage & Analytics Custom Code & 3rd Party Services Web/Mobile User Interfaces Integration Services Event Hub - Hyper Scale - - Fully Managed - - Interoperable - - Secure - - Cost Effective -
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- 21. THANK YOU Vladimir Bychkov Technical Team Lead [email protected] eastbanctech.com