Introduction to New SQL Server Introduction to New SQL Server Data Services:Data Services:Web-based Data Storage in a CloudWeb-based Data Storage in a Cloud

James Hippolite James Hippolite Senior .NET DeveloperSenior .NET DeveloperTelecom New Zealand LimitedTelecom New Zealand Limited

AgendaAgenda

Overview of Windows Azure Services PlatformOverview of Windows Azure Services Platform– Where does SSDS fit inWhere does SSDS fit in

Overview of Microsoft® SQL Server® Data Services Overview of Microsoft® SQL Server® Data Services (SSDS)(SSDS)– ArchitectureArchitecture

Shape of the ServiceShape of the Service– Provisioning modelProvisioning model– Data and Storage modelsData and Storage models– QueryQuery

About the betaAbout the beta

SessionSession PrerequisitesPrerequisites

““Basic” idea of what “Cloud Computing” isBasic” idea of what “Cloud Computing” is Familiar with Microsoft developer tools (e.g. Familiar with Microsoft developer tools (e.g.

Microsoft® Visual Studio®)Microsoft® Visual Studio®) Have experience designing and/or Have experience designing and/or

implementing systems deployed in implementing systems deployed in “traditional” hosted environments“traditional” hosted environments

Level 200

Windows Azure Platform at a Windows Azure Platform at a GlanceGlance

What Do I Get “in the Box”?What Do I Get “in the Box”?

SQL ServicesSQL ServicesExtending the SQL Data Platform to the CloudExtending the SQL Data Platform to the Cloud

Data services tier of the Azure Services PlatformData services tier of the Azure Services Platform Built on Microsoft® SQL Server® foundationBuilt on Microsoft® SQL Server® foundation Broad data platform capabilities as a serviceBroad data platform capabilities as a service

– Friction-free provisioning, scalingFriction-free provisioning, scaling– Significant investments in scale, high availability (HA), Significant investments in scale, high availability (HA),

lights-out operation, and total cost of ownership (TCO)lights-out operation, and total cost of ownership (TCO)

SQL Server Data ServicesSQL Server Data ServicesYour Data Any Place, Any TimeYour Data Any Place, Any Time

Microsoft SQL Server Data Services (SSDS) is a Web facing data storage and processing utility

Application Agility

•Simple, flexible data model

•Representational State Transfer (REST) and SOAP protocols support

Scales Without Limits

•Storage and processing scales without restrictions

•Businesses pay only for the resources consumed

Business-Ready SLA

•Built using robust Microsoft SQL Server technology

•Service level agreement (SLA) for business continuity

•Highly available, reliable, and secure

SSDS Service ArchitectureSSDS Service Architecture

TECHNOLOGY STACK DATA MODEL

SOAP and REST

Storage Tier

REST SOAPSSDS Runtime

[ADO.Net client]

Client Application

SQL Server Data Services Platform

Microsoft Global Foundation Services

Data Node Data Node Data Node Data NodeData NodeSQL

ServerSQL

ServerSQL

ServerSQL

ServerSQL

ServerMgmt.Server

Mgmt.Server

Mgmt.Server

Mgmt.Server

Mgmt.Server

Fabric Fabric Fabric Fabric Fabric

SSDS Feature AreasSSDS Feature Areas

Data and Storage ModelsData and Storage Models Web service API (REST, SOAP, Web service API (REST, SOAP,

resource, and formats)resource, and formats) ProvisioningProvisioning Query ModelQuery Model SecuritySecurity

The ACE ConceptsThe ACE Concepts

AuthorityAuthority– Unit of geo-location and billingUnit of geo-location and billing– Collection of containersCollection of containers

ContainerContainer– Unit of consistency/searchUnit of consistency/search– Collection of entitiesCollection of entities– No schema requiredNo schema required

EntityEntity– Property bag of name/value pairsProperty bag of name/value pairs– Unit of update/changeUnit of update/change– No SchemaNo Schema

Hello World on SSDSHello World on SSDS

SSDS ExplorerDemo of provisioning and access

Concepts: EntityConcepts: Entity

Flexible Entity ModelFlexible Entity Model– No schema requiredNo schema required

Property bag of name/value pairsProperty bag of name/value pairs– Smallest Unit of Storage (unit of update)Smallest Unit of Storage (unit of update)

Metadata propertiesMetadata properties– ID – unique name within parent containerID – unique name within parent container– Kind – track user type ex: JobListing, Resume, Car, Circle, Kind – track user type ex: JobListing, Resume, Car, Circle,

etc.etc.– Version – update timestamp on each operationVersion – update timestamp on each operation

Flex propertiesFlex properties– Can change instance type or add additional propertiesCan change instance type or add additional properties– Support for simple types: decimal, string, blob, etc.Support for simple types: decimal, string, blob, etc.– All properties are indexedAll properties are indexed

Concepts: Entity (Example)Concepts: Entity (Example)

Entity properties may differ in type and instance

Property Type Value

Property Type Value

Metadata IDKindDescriptionPriceListing Date

PostCode

FlexProps

EntityIdEntityKindStringNumericDatetime

String

VWGOLF-01CarReliable, one owner, …12000.0001-01-2009

6037

Metadata IDKindDescriptionPriceListing Date

FlexProps

EntityIdEntityKindStringNumericString

MINICOOPER-264FunCarReliable, one owner, …12000.001st January, 2009

EngineSize Numeric 1600

Different kinds

Different instance types

Additional property

Concepts: ContainerConcepts: Container

Stores Flexible EntitiesStores Flexible Entities Unit of consistencyUnit of consistency Widest domain of a single search and operationWidest domain of a single search and operation Unique name within parent containerUnique name within parent container

Concepts: AuthorityConcepts: Authority

A collection of ContainersA collection of Containers Analogous to namespaceAnalogous to namespace Unit of billing and geo-locationUnit of billing and geo-location Has DNS name (for REST access)Has DNS name (for REST access)

REST SupportREST Support

ReRepresentational presentational SState tate TTransferransfer– Pure HTTP-based solutionPure HTTP-based solution– All resources are directly accessible from All resources are directly accessible from

Internet URLsInternet URLs– HTTP Verbs mapped directly to SSDS operationsHTTP Verbs mapped directly to SSDS operations

Very broad accessibility from almost any Very broad accessibility from almost any environmentenvironment

Simple XML-based payloads or plain old XML Simple XML-based payloads or plain old XML (POX)(POX)

Query LanguageQuery Language

Textual query language through Web-Textual query language through Web-service head, passed in as literal text stringservice head, passed in as literal text string

Language patterned after C# LINQ syntaxLanguage patterned after C# LINQ syntax Operator semantics handles variant valuesOperator semantics handles variant values Query supported over metadata and data Query supported over metadata and data

propertiesproperties

Technical Preview AvailableTechnical Preview Available

Open release of the desktop software development Open release of the desktop software development kit (SDK)kit (SDK)

Limited preview of the cloud infrastructureLimited preview of the cloud infrastructure– Free usage, with quotasFree usage, with quotas

Key FeaturesKey Features– Virtual machines with dedicated resourcesVirtual machines with dedicated resources– Automated service managementAutomated service management– Simple service architecturesSimple service architectures– Microsoft® ASP.NET Web sites, managed code “workers”Microsoft® ASP.NET Web sites, managed code “workers”– StorageStorage– Single, large data centre on the U.S. West CoastSingle, large data centre on the U.S. West Coast

SSDS TakeawaysSSDS Takeaways

This is the starting pointThis is the starting point– Scale, cost, and operations excellenceScale, cost, and operations excellence– Learn about customer and partner usage patternsLearn about customer and partner usage patterns

Built on proven Windows Server® and SQL Server technologyBuilt on proven Windows Server® and SQL Server technology– Industrial strength servers; years of experience running large-Industrial strength servers; years of experience running large-

scale MSN® and Windows Live™ servicesscale MSN® and Windows Live™ services– Novel distributed data fabric for massive scale out and lights-out Novel distributed data fabric for massive scale out and lights-out

operationoperation Service will evolve based on feedback and partnershipsService will evolve based on feedback and partnerships

– Rich data types and queryRich data types and query– Blobs and full-text searchBlobs and full-text search– Rich services: reporting, analytics, caching, sync, and data Rich services: reporting, analytics, caching, sync, and data

qualityquality– ““We are extending our SQL data platform to the Cloud”We are extending our SQL data platform to the Cloud”

For More InformationFor More Information

BlogsBlogs– http://http://blogs.msdn.com/ssdsblogs.msdn.com/ssds– http://www.geekzone.co.nz/JamesHip/http://www.geekzone.co.nz/JamesHip/– http://twitter.com/JamesHip/http://twitter.com/JamesHip/

Landing pagesLanding pages– http://microsoft.com/sql/dataserviceshttp://microsoft.com/sql/dataservices– Http://Http://www.azure.comwww.azure.com//– http://msdn.microsoft.com/en-us/sqlserverhttp://msdn.microsoft.com/en-us/sqlserver