Presentation for the Microsoft Cloudpower summit - December 2010

1. Your Data and the Windows Azure platform Nigel Watson (nigelwat@microsoft.com) Platform Strategy Advisor Microsoft Australia

3. Data and storage in the cloud Storage Massive growth in data production Compliance driving greater retention Data Increasing need to support transient workloads Contention between OLTP and Reporting BI workloads becoming more demanding Demand for more self-service solutions http://www.flickr.com/photos/meanestindian/2186972664/sizes/o/in/photostream/

4. Slide 5 Storage Virtually limitless capacity Simple Provisioning High Availability built in Easier/Reduced Management http://www.flickr.com/photos/mwichary/4358190821/sizes/o/in/photostream/

5. Slide 6 Data Processing On demand scaling for bursts in activity Scale-up and scale-out capacity Relational database

6. Slide 7 Access Global accessibility Interoperable by default http://www.flickr.com/photos/preetamrai/5081961817/sizes/o/in/photostream/

7. The windows azure platform Developer Experience Use existing skills and tools Windows Azure Marketplace Compute Networking Storage Relational Sync Reporting Service Bus Access Control Caching

8. The windows azure platform Developer Experience Use existing skills and tools Windows Azure Marketplace Compute Networking Storage Relational Sync Reporting Service Bus Access Control Caching

10. Block Blob

11. Streaming workloads

12. Up to 200 GB per blob

13. Page Blob

14. Targeted at random page r/w workloads

15. Up to 1TB per blob

16. REST based access

17. Access to a local, durable drive in the cloud

18. Page Blob, formatted as NTFS

19. Up to 1 TB in size

21. Non relational

22. Single Index and Partion key

23. No FKs

24. Limited Transaction capability

25. Simple development model

26. .NET API

27. LINQ

29. Use for IPC/role coordination

30. Simple development model

31. .NET API

32. LINQ

33. RESTSlide 11

35. Rely on Business-ready SLAs

36. Enable multi-tenant solutions

38. Auto High availability and fault tolerant

39. Self-managing and self-healing

40. Familiar relational model

41. Build on existing developer skills and familiar Transact-SQL syntax

42. Explore new patternshttp://www.flickr.com/photos/88933162@N00/3580527279/sizes/o/in/photostream/

43. Cloud Data Scenarios

44. CLOUD DATA SCENARIOS Cloud Hub Data Distribution Scale-out Enterprise Applications Departmental Applications Business Intelligence Software-as-a-Service http://www.flickr.com/photos/rachelcreative/3080238750/sizes/o/in/photostream/

45. Slide 15 CLOUD DATA SCENARIOS Departmental Applications http://www.flickr.com/photos/cogdog/4055376/sizes/l/in/photostream/

48. Easy web-based provisioning for storage and database accounts

49. Familiar programming model and tools to build, migrate and manage applications

51. Allowing central IT to “upsize” data into more managed scalable cloud databases.

52. Departmental applications created to be quickly and efficiently provisioned.Departmental Applications

53. CLOUD DATA SCENARIOS Scale-out Enterprise Applications

55. Difficult to roll out extra capacity quickly

57. Built-in high availability, fault tolerance and automated management (no VMs)

59. Enterprise uses cloud database to handle unpredictable variations in demandSlide 18

61. Sensitive to economics of computing

62. Provision required capacity

63. Scale out/in to meet demand

65. Not sensitive to economics of computing

66. Can provision for peak capacity

68. Cloud DATA SCENARIOS Software-as-a-Service http://www.flickr.com/photos/boojee/2760681234/sizes/l/in/photostream/

70. Monetizing IP more effectively and expanding reach

71. Reliably and efficiently scaling to meet customer and business needs

73. Self-managed, highly available and fault tolerant service with a pay-as-you-go model

75. Building multi-tenant offering to scale and compete with more options to customers.

76. Enabling solutions to provide more options to customers and partners for different needs and deployment.Software-as-a-Service Slide 22

77. Cloud DATA SCENARIOS Business Intelligence http://www.flickr.com/photos/slasher-fun/4697012235/sizes/l/in/photostream/

81. Multi-party solution provides opportunity for end-to-end visibility and analysis.

82. Enterprise leveraging SQL Azure BI to create reports and perform analysis over their dataBusiness Intelligence Slide 24

83. The future of Cloud Data

84. The future of cloud data

85. datamarket DataMarket is an Information Marketplace

86. datamarket Standard OData APIs Public Marketplace IW Integration Provisioning, Reporting and Billing Layers Data Connection Layer Data Hosted by Third Party Data Hosted in Azure Data Hosted by Data Provider

87. datamarket

88. Future of Cloud Data Data synchronization Data can live anywhere Sync on-premises with cloud or between on-premises databases Reporting Report on SQL Azure Report on SQL Server synchronized data in SQL Azure

89. Considerations

90. CLOUD DATA – CONSIDERATIONS Legislation (sovereignty + privacy + industry) Security Latency Backup Management http://www.flickr.com/photos/meanestindian/2186972664/sizes/o/in/photostream/

91. Next Steps: Getting Started with the Windows Azure Platform 1 Learn more – download the tools: www.microsoft.com/windowsazure/getstarted 2 Activate your MSDN Azure benefits: msdn.microsoft.com 3 ISV Partners – get Azure support: www.microsoftplatformready.com

92. Next Steps: Accelerate your Journey to the cloud

93. Thank you

94. Additional Resources Learn more about SQL Azure Web: www.microsoft.com/sqlazure MSDN: msdn.microsoft.com/windowsazure/sqlazure Blog: blogs.msdn.com/sqlazure Whitepapers “Your Data and the Windows Azure Platform” Overview of Microsoft SQL Azure Programming Table Storage Programming Blob Storage Using a Durable Drive for your NTFS Cloud Applications Additional Presentations Windows Azure Storage Deep Dive What’s New in Microsoft SQL Azure Microsoft SQL Azure Development Best Practices