Azure Meetup: Novità CosmosDB modalità Serverless e Cognitive Services
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The document discusses new features of Azure Cosmos DB, a multi-model database service. It begins with an introduction to NoSQL databases and how they originated. It then outlines three new key features of Cosmos DB: 1) serverless capabilities that allow customers to pay based on consumption, 2) built-in Jupyter notebooks for interactive querying and visualization, and 3) integration of notebooks with GitHub. The document concludes with a demo of how these features can be used together with other Azure services like Cognitive Search, Computer Vision, and Functions.
![Nice to meet you!
{
"name": "michele arpaia",
"company": "microsoft",
"role": "EMEA Global Black Belt – Data & AI",
"specialties": [
"azure data platform", "cosmosdb", "streaming analytics",
"object oriented design", "java","c#", "event-driven architectures"
],
"experience": [
"IT NEXT", "Accenture","Helier", "Informatica ", "Microsoft"
] ,
"socials": {
"linkedin":"www.linkedin.com/in/michele-arpaia-4306b3/",
"twitter": "@mensetopera"
},
}
Design Thinking
Implementing
the Process
Linkedin](https://image.slidesharecdn.com/azuremeetup20201022-201023092532/85/Azure-Meetup-Novita-CosmosDB-modalita-Serverless-e-Cognitive-Services-3-320.jpg)
Azure Meetup: Novità CosmosDB modalità Serverless e Cognitive Services
- 2. Azure CosmosDB: Novità Michele Arpaia
- 3. Nice to meet you! { "name": "michele arpaia", "company": "microsoft", "role": "EMEA Global Black Belt – Data & AI", "specialties": [ "azure data platform", "cosmosdb", "streaming analytics", "object oriented design", "java","c#", "event-driven architectures" ], "experience": [ "IT NEXT", "Accenture","Helier", "Informatica ", "Microsoft" ] , "socials": { "linkedin":"www.linkedin.com/in/michele-arpaia-4306b3/", "twitter": "@mensetopera" }, } Design Thinking Implementing the Process Linkedin
- 5. AGENDA • Where NoSQL comes from? • The database landscape • Azure Cosmos DB: Value prop • Three new key features • DEMO • Additional Updates • What’s coming next • Q&A
- 6. Where does NoSQL come from?
- 7. Where does NoSQL come from? o Abandonment of scale-up solutions o CAP Theorem o Eventual Consistency (the ‘A’) o Open Source push o Dynamic & expressive data model Amazon had a great impact on the shaping of NoSQL. Can you guess why?
- 8. Horses for Courses OLTP Data Warehousing HDInsight Schema-Bound Seek-Centric / High Concurrency Scan-Centric / Low Concurrency Schemaless Distributed Data Processing NoSQL
- 9. Enter Azure CosmosDB! Develop modern apps with SLA-backed speed and availability, automatic and instant scalability, and open source APIs for many NoSQL engines
- 10. CosmosDB for Developers Server-sideprogrammingwith Javascript to define Stored Procedure and User Defined Functions
- 13. © Copyright Microsoft Corporation. All rights reserved. Three Provisioning Models
- 14. © Copyright Microsoft Corporation. All rights reserved. Great for predictable and mission-critical workloads Manual Provisioning
- 15. © Copyright Microsoft Corporation. All rights reserved. Unpredictable workloads within boundaries Austoscale Provisioning
- 16. © Copyright Microsoft Corporation. All rights reserved. New capacity model that radically changes the way you use Azure Cosmos DB • Full consumed-based model: pay only for • Consumed RUs • Consumed Storage • No minimum cost • Great fit for • Development, testing, prototyping • Small apps with light traffic Serverless
- 17. © Copyright Microsoft Corporation. All rights reserved. Real-Time Analytics
- 18. © Copyright Microsoft Corporation. All rights reserved. Generate near real-time insights on your operational data How does it work?
- 19. © Copyright Microsoft Corporation. All rights reserved. Azure Cosmos DB built-in Jupyter Notebook
- 20. © Copyright Microsoft Corporation. All rights reserved. The experience is built with .NET developers in mind, so you can interactively write and run C# code, use our built- in Azure Cosmos DB .NET SDK, and import custom NuGet packages. Notebooks in C#
- 21. © Copyright Microsoft Corporation. All rights reserved. To visualize your data, simply put a variable in the last line of your code and run the cell. If it’s a collection of items, we’ll automatically open interact data explorer, an open source visualization tool that we’ve built into the notebook. Notebook: data visualization
- 22. © Copyright Microsoft Corporation. All rights reserved. Directly connect your notebooks workspace to your GitHub account. Import your repositories and notebooks into your workspace to view/edit/run notebooks. Save and push directly to GitHub, all from within Data Explorer. Notebooks integrated with Github
- 23. © Copyright Microsoft Corporation. All rights reserved. DEMO – Ingredients Cloud search service with built-in AI capabilities that enrich all types of information to easily identify and explore relevant content at scale. It uses the same integrated Microsoft natural language stack that Bing and Office have used for more than a decade, and AI services across vision, language, and speech. An event-driven serverless compute platform that can also solve complex orchestration problems. Build and debug locally without additional setup, deploy and operate at scale in the cloud, and integrate services using triggers and bindings. Use visual data processing to label content with objects and concepts, extract text, generate image descriptions, moderate content, and understand people’s movement in physical spaces. No machine learning expertise is required. Azure Cognitive Search Azure Computer Vision Azure Functions
- 24. © Copyright Microsoft Corporation. All rights reserved. DEMO – Ingredients Cloud search service with built-in AI capabilities that enrich all types of information to easily identify and explore relevant content at scale. It uses the same integrated Microsoft natural language stack that Bing and Office have used for more than a decade, and AI services across vision, language, and speech. An event-driven serverless compute platform that can also solve complex orchestration problems. Build and debug locally without additional setup, deploy and operate at scale in the cloud, and integrate services using triggers and bindings. Use visual data processing to label content with objects and concepts, extract text, generate image descriptions, moderate content, and understand people’s movement in physical spaces. No machine learning expertise is required. Azure Cognitive Search Azure Computer Vision Azure Functions
- 25. © Copyright Microsoft Corporation. All rights reserved. DEMO – Ingredients Cloud search service with built-in AI capabilities that enrich all types of information to easily identify and explore relevant content at scale. It uses the same integrated Microsoft natural language stack that Bing and Office have used for more than a decade, and AI services across vision, language, and speech. An event-driven serverless compute platform that can also solve complex orchestration problems. Build and debug locally without additional setup, deploy and operate at scale in the cloud, and integrate services using triggers and bindings. Use visual data processing to label content with objects and concepts, extract text, generate image descriptions, moderate content, and understand people’s movement in physical spaces. No machine learning expertise is required. Azure Cognitive Search Azure Computer Vision Azure Functions
- 26. © Copyright Microsoft Corporation. All rights reserved. DEMO – High Level Architecture
- 27. Follow me on & https://github.com/micarp2019
- 28. THANK YOU!