SQL Server Data Services

Building Applications with SQL Data Services and Windows Azure
Ing. Eduardo Castro, PhD
Grupo Asesor en Informática
ecastro@grupoasesor.net

Building Applications with SQL Data Services and Windows Azure Session Agenda
Introduction to SQL Data Services
What is a Data Hub and What Problems Does it Solve
SQL Data Services Architecture
SDS Application Architectures
Scaling out with SQL Data Services

Data Platform: Device to Cloud
RDBMS
Service
Mining
Protection
Sync
Load
Reporting
Caching
Query
Analysis
Integration
Search
Backup
Model & policy based development and management
In
Memory
RelationalBLOB
MultiDim
XML
File
Type
Place
Mega-server
Desktop
Data Services
Server
Mobile/Desktop

Azure™ Services Platform
Azure Services Platform

The Microsoft Platform Stack
Mobile
Desktop
Server
Cloud
Application
Data
OS

Extending SQL Data Platform to Cloud
Reference Data
Business Intelligence
Data Sync
Reporting
SQL Data Services (SDS)
Database-as-a-Service
Symmetric Programming Model
Data Hub Aggregation

Initial services – core RDBMS capabilities as a service (SDS), Data Sync and Data Hub
Future Offerings
Additional data platform capabilities as a service: BI/DSS, DW
New services: Reference Data, Secure Data Hub
Enable new uses of data to deliver differentiated business value

Compatibility Goals
Support common application patterns
Logical based administration
Patterns work for SDS and SQL
Multi-tenancy considerations
Throttling and load balancing
Limits on DB size, duration of transaction, etc
V1: Address the needs of 95% or more web and departmental application

Sample of SQL Compatibility
In Scope for v1
Tables, indexes and views
Stored Procedures
Triggers
Constraints
Table variables, session temp tables (#t)
…
Out of Scope for v1
Distributed Transactions
Distributed Query
CLR
Service Broker
Spatial
Physical server or catalog DDL and views

Service Provisioning Model
Each account has zero or more servers
Azure wide, provisioned in a common portal
Billing instrument
Each server has one or more databases
Contains metadata about the databases
Unit of authentication
Unit of Geo-location
Each database has standard SQL objects
Unit of consistency
Contains users, tables, views, indices, etc…
Account
Server
Database

Azure
Architect
http://ecastrom.blogspot.com
demo

Data Hub
“An aggregation of Enterprise, Partner, Desktop, and Device data within SQL Data Services”
Windows Azure
Enterprise
Azure App
On-premises App
ADO.NET, ODBC, PHP, ...
SQL Data
Services
Data Sync Service
Sync
Enterprise
Sync
Sync
User Management
Device
Device Management
Desktop
Client App
Client App
Sync Gateway
Business Logic / Rules
Sync Client
Sync Client

Data Hub – Project “Huron”
Customer Segment
Small and medium sized businesses
Enterprise – rapid prototype
Both Microsoft (v1) and Non-Microsoft device (post v1)
Common Patterns
Mobile device access to corporate data
Business to business sharing
Secure digital data hub / partner extranets
Governmental data (searchable encryption)

Data Hub – Project “Huron”
Value Props
Lower operational expense and capital expenditure
Self-healing
Highly available
Out-of-the-box support for SQL Server and SQL Compact
Extensible to non-MS devices and data sources (post v1)

Data Sync Service
Analytical
Sync Framework
TDS
Reporting
SDS Provider
SQL Data Services
Data Sync
Online
Publish API
Subscribe API
Sync API
3rd party platforms
Client Library API
Client Library API
Windows
Desktops
&
Devices
Sync Framework
Sync Framework
Sync Service Proxy
Sync Service Proxy
3rd party DB
Client Data Provider
Client Data Provider

SQL Data Services Network Topology
Applications use standard SQL client libraries: ODBC, OLEDB, ADO.Net, …
Application
TDS (tcp:1433)
Load balancer forwards ‘sticky’ sessions to TDS protocol tier
Load Balancer
TDS (tcp: 1433)
Gateway
Gateway
Gateway
Gateway
Gateway
Gateway
Data Node
Data Node
Data Node
Data Node
Data Node
Data Node
TDS (tcp: 1433)
Scalability and Availability: Fabric, Failover, Replication and Load balancing

Performance Considerations
The distance your application travels to perform data access will affect performance

SDS Application Architectures
SDS access from within MS Datacenter
(Azure compute – ADO.NET)
SDS access
from outside MS Datacenter
(On-premises – ADO.NET)
Browser
App Code / Tools
Astoria/REST - EF
HTTP/S
SOAP/REST
HTTP/S
App Code
(ASP.NET)
Windows Azure
T-SQL (TDS)
T-SQL (TDS)
SQL Data Services
SQL Data Services
MS
Datacenter
MS
Datacenter
Topology supported
for some apps

Code Far Applications
Data is typically located outside the firewall from where your application runs
Design your application to handle latency
Pre-fetch as much data as possible to provide a rich experience to your users
Cache data locally

Code Near Architecture
Application Code runs within the same network that your data resides on
Windows Azure provides a scalable hosting and compute platform for hosting your applications
SQL Data Services and Windows Azure provide a “better together” experience

Scaling Out With SQL Data Services
How can I gain maximum performance from my data tier?
What if my application has large data storage requirements?
Scaling out with SQL Data Services addresses these requirements

An Example Scale Out Architecture
ASP.Net
Application
Customer 123
Partition
Aware
App Tier
Data
Partitions
“Shards”

Scaling out with SQL Data Services
demo
Sync Service
Architect

What Can I Do To Get Ready For SDS?
Download SQL Server Express today
Architect your applications for Scale Out
Consider where your data access will live
Watch for CTP Announcement Coming Soon!!!

What Did We Learn?
SDS data platform is real and in production
Built using SQL Server 2008 codebase
Delivery of rich relational database service – PDC ’09
Relational database is key capability of the Azure platform
SDS design and architecture supports a wide range of scenarios
Cloud Data Hub’s are a convenient place to consolidate and share data

Accessing SDS from ADO.Net Data Services
demo
Sync Service
Architect

High Level Architecture
SQL Data Services Gateway Tier
Protocol Parser
Protocol Parser
Protocol Parser
Protocol Parser
Protocol Parser
Protocol Parser
Protocol Parser
Management Services
Management Services
Management Services
Management Services
Management Services
Management Services
Management Services
Partition Services
Partition Services
Partition Services
Partition Services
Partition Services
Partition Services
Partition Services
SQL Data Services Back End
SQL Server
SQL Server
SQL Server
SQL Server
SQL Server
SQL Server
SQL Server
Distributed Data Fabric
Mgmt. Services
Mgmt. Services
Mgmt. Services
Mgmt. Services
Mgmt. Services
Mgmt. Services
Mgmt. Services

Addressing Latency With Windows Azure
Windows Azure is co-located in the same datacenter as SQL Data Services
Windows Azure provides
Point 3

question & answer

Building Applications with SQL Data Services and Windows Azure
GrupoAsesor en Informática
ecastro@grupoasesor.net
http://comunidadwindows.net

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