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[WITH THE VISION 2017] IoT/AI時代を生き抜くためのデータ プラットフォーム (Leveraging Azure Data Services for App Development)

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[WITH THE VISION 2017] IoT/AI時代を生き抜くためのデータ プラットフォーム (Leveraging Azure Data Services for App Development)

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https://satonaoki.wordpress.com/2017/07/21/wtv_f2017/
https://wtv.connpass.com/event/60873/

「IoT/AI時代を生き抜くためのデータ プラットフォーム」

「うちのデータはとにかくRDBに投げ込んでOLTP…」 変化の激しい昨今のITビジネスにおいて闇雲にRDBを利用することは本当に正しいのでしょうか? クラウドでは実に多様なデータ サービスが提供されています。本当にそれらを活用できないのでしょうか? 活用せずして将来的に競争力のあるアプリケーションやサービスを提供できるのでしょうか?
本セッションでは、そんな疑問にお答えして、Microsoft Azureが提供するデータ サービスを活用することで一歩進んだ魅力的なアプリケーションを構築するためヒントをお届けします。

https://satonaoki.wordpress.com/2017/07/21/wtv_f2017/
https://wtv.connpass.com/event/60873/

「IoT/AI時代を生き抜くためのデータ プラットフォーム」

「うちのデータはとにかくRDBに投げ込んでOLTP…」 変化の激しい昨今のITビジネスにおいて闇雲にRDBを利用することは本当に正しいのでしょうか? クラウドでは実に多様なデータ サービスが提供されています。本当にそれらを活用できないのでしょうか? 活用せずして将来的に競争力のあるアプリケーションやサービスを提供できるのでしょうか?
本セッションでは、そんな疑問にお答えして、Microsoft Azureが提供するデータ サービスを活用することで一歩進んだ魅力的なアプリケーションを構築するためヒントをお届けします。

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[WITH THE VISION 2017] IoT/AI時代を生き抜くためのデータ プラットフォーム (Leveraging Azure Data Services for App Development)

  1. 1. [WITH THE VISION 2017] IoT/AI時代を生き抜くための データ プラットフォーム 佐藤 直生 (@satonaoki) Microsoft
  2. 2. IoT/AI時代を生き抜くための データ プラットフォーム
  3. 3. Leveraging Azure Data Services for App Development July 21th, 2017 SATO Naoki (@satonaoki) Microsoft
  4. 4. CORE INFRASTRUCTURE Compute Storage Networking Security ADVANCED WORKLOADS Web + Mobile Internet of Things Microservices Serverless Identity Management Data + Analytics Cognitive Services High Performance Compute TOOLS Visual Studio + Visual Studio Code + Visual Studio Team Services
  5. 5. What differentiates today’s thriving organizations? Data.
  6. 6. The opportunity is bigger than you may think $1.6Tdata dividend available to businesses that embrace data over the next four years speed More people New analytics Diverse data How? Data source: Microsoft and IDC, April 2014
  7. 7. The Microsoft data platform capabilities Transform + analyze Visualize + decide Capture + manage Data ✓
  8. 8. The Microsoft data platform capabilities Transform + analyze Visualize + decide Capture + manage Data ✓
  9. 9. Apps Sensors & Devices Information Management Big Data Stores Machine Learning Analytics Intelligent Action Apps
  10. 10. What’s stopping you from building THE next great business app? • Having to build across all device types and platforms • Getting to disparate data locked across public & private clouds • Integrating data across SaaS & Enterprise systems • Automating business processes • Scaling the infrastructure for your application • TIME!
  11. 11. API APPS Easily build and consume APIs in the cloud WEB APPS Web apps that scale with your business LOGIC APPS Automate business process across SaaS and on-premises MOBILE APPS Build Mobile apps for any device App Service
  12. 12. Serverless code execution on Azure HTTP Request Timer Storage change IoT Event CRM record update Tweet on Twitter + 100’s more event sources…
  13. 13. Azure Functions On-demand serverless code Develop, debug, test, deploy in Visual Studio CI/CD support in Visual Studio Team Services and Github
  14. 14. Azure Logic Apps On-demand serverless workflows 100+ data and app connectors built-in Integrated Visual Studio tooling
  15. 15. BatchService FabricContainer Service Web Apps
  16. 16. Why PaaS for data stores? If you host your database in an Azure VM, you are responsible for… App Optimization Scaling High Availability Disaster Recovery Backup Database Patches OS Patches
  17. 17. Why PaaS for data stores? If you use a managed Data Service, you are responsible for… App Optimization Scaling High Availability Disaster Recovery Backup Database Patches OS Patches App Optimization Focus on your app and your business. Achieve a 406% ROI. Let Azure Data Services help you build, scale, and innovate.
  18. 18. Request Response
  19. 19. With Azure, you have many managed data store options and you can use the right store for the job AND not OR for App Developers When you need…. Because… But not for… Use … Relational store Transactions, joins, structured data, familiar SQL query Quickly changing data schemas SQL Database NoSQL key-value pair store Low-cost, fast, massive scale Rich query Table Storage NoSQL JSON document store Flexible schema, familiar SQL query, low latency Complex joins Cosmos DB NoSQL wide- column store Open-source, integration with Hadoop analytics Operational simplicity HBase on HDInsight Cache Increasing speed of an app Primary data store Redis Cache Search service Integrating search into an app Primary data store Azure Search
  20. 20. Options and combinations for different scenarios
  21. 21. More application scenarios Application meta data Voting (high throughput) E-commerce Social/user generated content Marketing sites Gaming Data exchange/preference/state …and many others
  22. 22. How we think about on-premises applications today. SQL S2 SQL P1 { } And how we think about applications in the cloud. SQL S2
  23. 23. An app that lives in the cloud… Web Front End Transactions Product Catalog Search Experience Shopping Cart Sentiment Analysis User Profiles
  24. 24. Azure AD • Hybrid Identity • Stores user profile thumbnails synced from AD Active Directory • Simulated on-premises environment AADSync • Sync identities to Azure SQL Database • Scale – active geo-replication • Primary writes • Load-balanced reads • Data: Events + Registration Azure Redis Cache SQL Database • Scale – active geo-replication • Secondary for failover • Load-balanced reads • Data: Events + Registration REGION A REGION B Client User Organization Identity Azure Websites • autoscale enabled • Authentication: Azure AD
  25. 25. Azure Websites (part of App Service • autoscale enabled • Authentication: SQL, Facebook, Twitter, Microsoft, User/Pass Cosmos DB • Scale via add’l Collections • Product Catalog • Community Posts SQL Database • Scale via Elastic Database • Product Orders Media Services + Storage • Uploaded Community Videos • Secure upload and streaming • Static and Dynamic Packaging to all formats Search • Scale via Search Units • Product Catalog • Community Posts Azure Redis Cache + Client User
  26. 26. Let’s dive in to the services When you need…. Because… But not for… Relational store Transactions, joins, structured data, familiar SQL query Quickly changing data schemas NoSQL key-value pair store Low-cost, fast, massive scale Rich query NoSQL JSON document store Flexible schema, familiar SQL query, low latency Complex joins NoSQL wide- column store Open-source, integration with Hadoop analytics Operational simplicity Cache Increasing speed of an app Primary data store Search service Integrating search into an app Primary data store SQL Database Tables Cosmos DB HBase on HDInsight Redis Cache Azure Search Use … SQL Database Table Storage Cosmos DB HBase on HDInsight Redis Cache Azure Search
  27. 27. • Two-dimensional rows/columns • Strongly typed column data • Declarative schema Customer Table CustomerName Address Telephone Product Table ProductName Quantity Color Order Table OrderNumber CustomerName ProductName
  28. 28. IaaSPaaS Azure SQL Database Azure Database for MySQL/PostgreSQL
  29. 29. Azure SQL Database • Built for SaaS and Enterprise applications • Predictable performance & Pricing • Elastic database pool for unpredictable SaaS workloads • 99.99% availability built-in • Geo-replication and restore services for data protection • Secure and compliant for your sensitive data • Fully compatible with SQL Server 2014 databases Fully managed relational database service SQL Database Tables Cosmos DB HBase on HDInsight Redis Cache Azure Search
  30. 30. “SQL Database is the heart of our system that processes billions of application metrics a month. “Elastic Database pools is essential to our ability to quickly provision new clients and scale out as our business rapidly grows.“ Matt Watson, Founder and CEO, Stackify SQL Database Tables Cosmos DB HBase on HDInsight Redis Cache Azure Search
  31. 31. PostgreSQL as a Service MySQL as a Service Built-in high-availability and security Elastically scale up or down with no application downtime 100% compatible with all existing drivers, libraries, tools Announcing new Azure Services MySQL PostgreSQL
  32. 32. Partition Key Row Key Value Marketing 00001 Name Age Bob 35 Marketing 00002 Name Age Karen 42 Marketing Department Name Count MKTG 104 Sales 00010 Name Age Sam 29 • Simple Map • Semi-Structured • De-normalized
  33. 33. IaaSPaaS Azure Table Storage Azure Redis Cache
  34. 34. For: ▪ Web app user data ▪ Address books ▪ Device information ▪ Other metadata SQL Database Tables Cosmos DB HBase on HDInsight Redis Cache Azure Search
  35. 35. For: ▪ All apps SQL Database Tables Cosmos DB HBase on HDInsight Redis Cache Azure Search
  36. 36. For: ▪ Interactive websites ▪ Sensor data ▪ Message systems ▪ Real-time query (using Phoenix) ▪ Writing transactional data to Azure Blobs SQL Database Tables Cosmos DB HBase on HDInsight Redis Cache Azure Search
  37. 37. SQL Database Tables Cosmos DB HBase on HDInsight Redis Cache Azure Search
  38. 38. • No schema, no relationships • Collections of documents • Documents are JSON objects { "title": "Polo Long Sleeve Shirt", "color": "red", "material": "cotton" } { "title": "NoSQL Distilled, "author": [ "Martin Fowler", “P. Sadalage" ], "isbn": "978-0321826626", "pages": 192 }
  39. 39. IaaSPaaS Azure Cosmos DB MongoLabRavenHQ
  40. 40. Globally distributed database service
  41. 41. Scale to any need Comprehensive SLAs Globally distributed Multi model, multi API The first globally distributed, multi-model database service
  42. 42. Cosmos DB A document store Collections Document 1 Document 2 Document 3 Document 4 Cosmos DB Application { "name": "John", "country": "Canada", "age": 43, "lastUse": "March 4, 2014" } { "name": "Lou", "country": "Australia", "age": 51, "firstUse": "May 8, 2013" } { "docCount": 3, "last": "May 1, 2014" } { "name": "Eva", "country": "Germany", "age": 25 } JSON SQL Database Tables Cosmos DB HBase on HDInsight Redis Cache Azure Search
  43. 43. For: ▪ Catalog data ▪ Preferences and state ▪ Event store ▪ User generated content ▪ Data exchange ▪ IoT device registry SQL Database Tables Cosmos DB HBase on HDInsight Redis Cache Azure Search
  44. 44. • Map-based • Relationships of Edges and Nodes
  45. 45. IaaSPaaS Azure Cosmos DB
  46. 46. Azure Search high high heels high tops high arch Ecommerce and Online Retail User Generated Content Line of Business Applications People use search as a natural, low friction way to interact with apps Web search engines have set the bar high for search Instant results, auto-complete, hit highlighting, great ranking, linguistics Search is hard and rarely a core expertise area From infrastructure standpoint: availability, durability, scale, operations From the functionality standpoint: ranking, geo-spatial, input handling SQL Database Tables Cosmos DB HBase on HDInsight Redis Cache Azure Search
  47. 47. Reference Architecture for Managed Web App https://docs.microsoft.com/ azure/architecture/reference- architectures/managed-web-app/
  48. 48. FUJIFILM Software (富士フイルムソフトウエア) IMAGE WORKS https://www. microsoft.com/ ja-jp/casestudies/ ffs.fujifilm.aspx https://channel9. msdn.com/Events/ de-code/2017/AC08
  49. 49. https://docs.microsoft.com/azure/#pivot=architecture
  50. 50. To review When you need…. Because… But not for… Relational store Transactions, joins, structured data, familiar SQL query Quickly changing data schemas NoSQL key-value pair store Low-cost, fast, massive scale Rich query NoSQL JSON document store Flexible schema, familiar SQL query, low latency Complex joins NoSQL wide- column store Open-source, integration with Hadoop analytics Operational simplicity Cache Increasing speed of an app Primary data store Search service Integrating search into an app Primary data store Use … SQL Database Table Storage Cosmos DB HBase on HDInsight Redis Cache Azure Search
  51. 51. Apps Sensors & Devices Information Management Big Data Stores Machine Learning Analytics Intelligent Action Information Management Big Data Stores Machine Learning Analytics Sensors & Devices Cortana Intelligence Suite Machine Learning Power BI Data Lake SQL Data Warehouse IoT Suite IoT Hub
  52. 52. The Microsoft data platform capabilities Transform + analyze Visualize + decide Capture + manage Data ✓

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