Introduction To Sql Services

Introduction to SQL Services Lynn Langit Developer Evangelist - Microsoft http://blogs.msdn.com/SoCalDevGal

Microsoft Cloud Services Database Data Sync Reference Data ETL Data Mining Reporting

SQL Data Services
Virtualized Database in cloud
NOT hosted databases
Based on SQL Server technology
Distributed fabric of SQL Server nodes
Process queries, store & index data
Highly available / scalable infrastructure
Based on partitioning
Uses replication between nodes
Early relational capabilities today
moving to expose more in future
Current restriction details here

Cloud Data Services Data Spectrum Data Capability File System Rich Data Services Blobs, Queues, Tables Relational Data & BI capabilities SDS Windows Azure

What does SDS Provide ?
Availability and Agility
Instant Scale
Reliability
Security
Cost Effectiveness
Save time…

What does SDS Eliminate ?
Configure Database Servers
Configure physical / logical storage
Managing Hardware
Size DB server (memory, CPU, …)
Install / patch DB software
Diagnose / resolve hardware failures

The ACE Model
A uthority
Unit of geo-location and billing
Tied to DNS name
C ontainer
Partition of Data
Widest domain of Query
Collection of HeterogeneousEntities
E ntity
Property bag of name/value pairs
Lightly-typed
Unit of update/retrieval
Schema-less, Flexible

Architecture Fabric Replication Client Tier Mgmt. Services Data Node SQL Server Fabric Mgmt. Services Data Node SQL Server Fabric Mgmt. Services Data Node SQL Server Fabric Mgmt. Services Data Node SQL Server Fabric Distributed SQL Data Cluster Mgmt. Services Data Node SQL Server Fabric Mgmt. Services SQL Server Fabric Data Node Data Node SDS Service Tier Storage Tier Microsoft Global Foundation Services [ADO.Net client] REST SOAP SDS Runtime

Data & Operational Model Data Model Operational Model

Getting Started
Request an account - here
Manage your account - here

Reading Data https:// myauthority .data.database.windows.net/v1/ mycontainer / myentity

Writing Data https:// myauthority .data.database.windows.net/v1/ mycontainer / myentity

Query Model
Text query language via web-service header ( as literal text string)
Language patterned after C # LINQ syntax from e in entities.OfKind(“ BlogEntry ”) where e[“ Tag ”] == “ SDS ” && e[“ Posted ”] >= DateTime(“ 2008-10-18 ”) && e[“ IsPublic ”] == true select e
Operator semantics handles variant values
e[“ Posted ”]could be DateTime in one entity and string in another
e[“ Tag ”] == “CUSTOMER” means look for instances where Tag is a string and has value “CUSTOMER”. i.e. type inference using literal syntax
Query supported over metadata and data properties
e.Id vs. e[“ EntryId ”]

Query Operations
Projection of full entity
no shaping or construction
Simple boolean operators (<, >, <=, >=, !=, ==, …)
Simple Join within Container
OrderBy and TOP operations
Future Enhancements:
Aggregates (Count, Sum, GroupBy)
Skip, robust paging
Starts-With, Ends-With()
More SQL-like features

Security Model
Basic Authentication in CTP today
Username, password
Simple Authorization ( per Authority )
Integration with Azure Access Control
Supports all Access Control authentication
Work underway to provide rich, granular authorization

SQL Data Services Data model

Database Reference Data ETL Data Mining Reporting Data Sync

Data Sync
Consolidates data from multiple sources
Enables data sharing between mobile users, remote offices and business partners
Allows leveraging cloud-computing for BI, ETL, Reporting
Is an available, highly scalable endpoint
Public App On Premises Assets and Data Mobile Users

"Huron" + MS Sync Framework
Scale via SQL Data Services
Consolidate business data in cloud & enable sharing
to other desktops & mobile users
Synchronize (network available)
Each user does not have to be connected to a single database
Out-of-the-box publication of Microsoft databases
Solves the rendezvous problem
More detail here
Mobile Clients Rich Clients “ Huron” Sync Service SDS Direct Clients sync subset

Database Reference Data ETL Data Mining Reporting Data Sync

Business Intelligence at a Glance SQL Server Analysis Server (SSAS) SQL Server Integration Server (SSIS) SSIS source component for SSDS Data Provider SQL Server Report Server (SSRS) Investments to enable you to leverage cloud data in existing data processes – e.g. Reporting, Data Mining and ETL

Reporting
On-premises provider
Can pull from SDS & on-premises data
Leverage existing processes & assets
Uses existing tools & run-time
Flexible Report Builder
Rich Visualizations

Report Designer: SSDS data sources

Report Designer: Query against SSDS

BIDS Report Designer SSRS and SQL Data Services

Data Mining
Extension of SSAS Table Analysis Tools
Leverage data from SSDS or load data from Excel
Benefits
Rich “attached service” for use in building sophisticated apps
Zero setup/admin
Friction free capacity (multiple users)
Excel add-in Analyze your spreadsheet data
Thin Client
Pull data directly from SQL Server Data Services
Upload your CSV files

DM in the Cloud
Test Data Types
Relational
CSV
SQL Services

Try it in the cloud…

Data Mining and Excel integration

Calling the Cloud…(from Excel 2007)

Data Mining

Resources
Azure Services Platform - here
Ryan Dunn blog – here
Sync Blog – here
SQL Labs Incubation Projects – here
SDS Provisioning Client – here
My Blog (SoCalDevGal) - here

© 2008 Microsoft Corporation. All rights reserved. Microsoft, Windows, Windows Vista and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

Introduction To Sql Services

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