SQL Server 2008 Overview Lubor Kollar, Group Program Manager.

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Presentation transcript:

SQL Server 2008 Overview Lubor Kollar, Group Program Manager

Video

McLaren – High Level Architecture

McLaren – Facts ATLAS – Advanced Telemetry Linked Analysis System –Server side –Client side Inputs from ECU (Engine Control Unit) but also from the environment (weather, temperature, humidity, atmospheric presure) Collecting 500k data / second during races and practices Client can work with the current and historical data Race team collects 2-5 TB of data in a year SQL Server 2008 technologies –Filestream data type –Reporting Services –Security –Analysis of live data

Amazing Journey

TRUSTED Protect your information Ensure business continuity Predictable responses PRODUCTIVE Manage by policies Simplify Application Development Store any information INTELLIGENT Integrate data Deliver relevant information Drive actionable insights

Trusted Protect your information Secure business-critical data –Secure Access –Protect system –Simplify compliance –Ensure Availability –Minimize Downtime –Concurrent Access –Optimize Performance –Analyze Performance –Predict Performance Ensure Business Continuity Reliable Platform for your data Predictable Response Scale for any size business

Predictable Response Resource Governor

Productive Reduce Management Cost Spend less time on operations –Flexible Administration –Manage centrally –Monitor Health –Easy Access –Program data logic –Sync your data –Unstructured Information –Geospatial information –Structured information Simplify Development Reduce development time Store your information Information Lifecycle Management

Intelligent Integrate & Manage data Next Generation Data Warehousing –Build Faster –Manage Efficiently –Scalable Performance –Author reports –Manage reports –Deliver reports –Build Analytical solutions –Extend Reach –Deliver Insight Deliver Relevant Reports Enterprise Reporting Platform Drive Actionable Insight Scalable and Predictive Analysis

User View of BI Technologies

Hviezdny Projekt

Pan-STARRS Panoramic Survey Telescope And Rapid Response System Detect ‘killer asteroids’ –1.4 Gigapixel camera, 30 sec/picture –Hawaii + JHU + Harvard/CfA + Edinburgh/Durham/Belfast + Max Planck Society Data Volume –>1 Petabytes/year raw data –Over 5B celestial objects plus 250B detections in database –100 TB SQLServer database built at JHU, the largest astronomy DB in the world –3 copies for redundancy PS4 –4 identical telescopes in 2012, generating 4PB/yr

Pan-STARRS

SQL Server – Announcements (new!) Madison: integration between SQL Server and DATAllegro, release expected within 1H Look at it if you have a datawarehouse of hudreds of Tb or more Kilimanjaro: a sort of “R2” version of SQL Server expected to be released within 1H It includes self-service analysis (project code Gemini) and self-service reporting Gemini: a column-based in-memory storage that seems to be part of Analysis Services (not so much details by now) and that can be used locally with Excel Excel "on stereoids": Gemini packaged as add-in for Excel. No model design required. Relationship is inferred by the engine, navigation tool is provided – evolution of PivotTable. Reports can be published on SharePoint. Excel looks like a reporting tool of the future

Thank You

© 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.