Microsoft’s Data Platform Strategy Fausto Ibarra Director, Product Management Microsoft Enterprise Application Platform May 2009
Welcome message from author
This document is posted to help you gain knowledge. Please leave a comment to let me know what you think about it! Share it to your friends and learn new things together.
Transcript
Microsoft’s Data Platform StrategyFausto IbarraDirector, Product ManagementMicrosoft Enterprise Application PlatformMay 2009
Agenda
Business update
Customer highlights
Data Platform Vision
Product roadmap
Quick Poll…
How many of you have projects underway forSharePoint deployment?
Business Intelligence?
Server consolidation?
How many of you ownSQL Server?
Enterprise Edition?
Actively usingSQL Server Reporting Services?
SQL Server Analysis Services?
Business Update
1. Source: “Worldwide Relational Database Management Systems 2007 Vendor Shares, ” Carl W. Olofson, IDC, June 2008
2. Source: NIST National Vulnerability Database
Customer Adoption
Business Challenges
Data Platform Vision
Dynamic Development
Platform For All Data
Pervasive Insight
Enterprise Data Platform
Datacenter Mobile and
Desktop
OLAP
FILE
XML
RDBMS
Services
Query
Analysis
Reporting Integration
Sync
Search
CloudStorage
“Enabling customers of all sizes to derive value from ALL data, birth through archival”
Master Data
Accelerate your development with entities
Synchronize your data from anywhere
Store and consume any type of data
Deliver Location Intelligence within your applications
Integrate all your data in the enterprise data warehouse
Reach all your users with scalable BI platform
Empower every user with actionable insights
Secure, trusted platform for your data
Optimized and predictable system performance
Productive policy-based management of your infrastructure
and Project codenamed “Madison”
Manage at scale
Enhance IT Governance
Simplify application deployment
Improve visibility and resource utilization
Scale-out at low cost/TB (DW)
HW flexibility and choice
Support for largest Windows Server hardware
Scalable low latency event processing
Enable Self Service BI
IncreaseIT Efficiency
Microsoft Confidential - Do Not Distribute
Scale with Confidence
Reduce dependence on IT
Decrease training time and cost
Greater re-use of insights
Faster time to decision
Multi-instance management
Master Data Services
Data-tier application deployment
IT management of end user BI Apps
MPP support for 100TB+ DW (Massively Parallel Processing)
Appliance-like DW on industry standard HW
Support for up to 256 cores
Complex event processing
Microsoft Confidential - Do Not Distribute
In-memory analysis in Excel
Re-usable report components
SharePoint publishing and hosting
Intuitive Ad-hoc query
and Project codenamed “Madison”
Enable Self Service BI
IncreaseIT Efficiency
Scale with Confidence
Industry standardnetworking
Industry standardstorage
Industry standardservers
Project Codenamed “Madison” Appliance-like solution on industry standard hardware
Microsoft CEP Engine
Reference Data
Application
Inp
ut A
dap
ters
Event Sources
Devices, sensors
Web servers
Event stores and databases
Stock tickers and news feeds
Ou
tpu
t Ad
ap
ters
Event Targets
`
Event stores and databases
Pagers and monitoring devices
KPI Dashboards, SharePoint UI
Trading stations
Delivering Innovation in 2010Complex event processing
Platform for continuous, incremental and low-latency processingof event streams from multiple sources based on declarative
query and pattern specifications
MDM
Master Data Management
Easy, low-cost provisioning
High availability and data recoverability
Self-managingand self-healing
Database as autility with pay asyou grow scaling
Rely on Business-ready SLAs
Enable multi-tenant solutions
Build cloud-based database solutionson a familiar, relational model
Build on existing developer skillsand familiarTransact-SQL syntax
Explore new data application patterns
SQL Data ServicesShared relational database as a service
Roadmap SummaryAccelerating delivery of incremental value and innovation
Available NowSQL Server 2008 SP1
Innovation coming in 2010SQL Server 2008 R2
Self-service analysis (Gemini) and reporting
Application and multi-server management
Master Data Services
Support for up to 256 cores
Project “Madison” (DATAllegro)
Complex event processing
Predictable release timeframeMajor releases of SQL Server every 24–36 months
© 2009 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.
Related Documents
