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January 2008 - Posts

  • when it comes to ... Thin and Sleek

    Macbook versus another (thin) ultraportable laptop:

    the winner -> lenovo thinkpad x61,

    the beauty->Sony VGN-TZ150N/B

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  • interesting read: 10 Things Your IT Department wont' tell you

    Written by Wall Street Journal writer.

    http://tech.msn.com/howto/articlewsj.aspx?cp-documentid=5983122

    just find out another talented woman call Gina Trapani from there. 

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  • SQLUG Newsletter January 2008: Redefining Pervasive Insight with SQL Server 2008

    Topic: Redefining Pervasive Insight with SQL Server 2008

    SQL Server 2008 Business Intelligence platform provides a scalable BI platform optimized for data integration, reporting, and analysis enabling organizations to deliver intelligence where users want it.

     

    In this session, you will hear what makes SQL Server 2008 a BI platform of choice, and the three key aspects emerging from the BI platform:

    ·         Integrate and Manage All Your Data

    ·         Reach All Users with a Comprehensive Platform·         Deliver Actionable Insight to Every User Tom Casey is a distinguished speaker and visiting Singapore. This is your unique opportunity to hear from the BI GURU directly.·         Distinguished Speaker: TOM CASEY·         Date      : January 14th 2008 (MONDAY)·         Venue  : Microsoft Singapore (21st FLOOR Auditorium). One Marina Boulevard.·         Time      : 6.45 pm – 8.00 pm with 20 min break. Please arrive by 6.30 to allow time for registration. (Light Snacks will be served, REGISTER EARLY)     

    To register, please e-mail BEFORE January 10th 2008 at to sqlugsingapore@mvps.org with the following details:

    Name                    :

    Designation       :Company             :

    Tel No :

    Email                    

    This session (on 22nd Nov 2007) is open to SGSQLUG members - so please ask your colleague / friend to register as a member at http://sgsql.sqlgroups.com. Upon Registration as a member, they can then send a mail to confirm their participation for the session with details indicated above.

    Tom Casey.General Manager, SQL Server Business IntelligenceMicrosoft® SQL Server™Microsoft Corporation As a general manager within the SQL Server development team, Tom Casey is responsible for managing the overall strategy, design, development and delivery of SQL Server’s business intelligence technologies. The foundation of Microsoft’s end-to-end business intelligence solutions, SQL Server delivers an innovative business intelligence platform with integrated analytics including online analytical processing (OLAP); data mining; extract, transform, and load (ETL) tools; data warehousing; and enterprise reporting functionality. This comprehensive, integrated approach helps organizations worldwide seamlessly build and deploy robust business intelligence applications at all scales with low total cost of ownership.  Prior to his current position, Tom served in a similar role driving the development of Microsoft’s business process and integration products (BizTalk Server and Host Integration Server) and developing Microsoft’s overall workflow strategy. Tom joined Microsoft in 1996 and spent the first six years of his tenure delivering Microsoft’s database replication technologies and the mobile edition of SQL Server. Before Microsoft, Tom worked as a database applications and systems developer at a few small startup companies. Tom has a business degree with emphasis in Management Information Systems from the University of Arizona.

     

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  • Knowledge Engineering in National University of Singapore beginning 2008 until end of 2009 for M.Tech

    KE(Knowledge Engineering)Base Course:

    1. Master of Technology Programme Orientation(2008)
    2. Intro to KE(2008)
    3. Knowledge Based Systems(2008)
    4. Intro to Advanced KE Technologies(2008)
    5. Knowledge Acquisition and Problem Modelling(2008)
    6. KBS Prototyping Project(2008)
    7. Neural Network Computing(2009)
    8. Scheduling and Resources Allocation(2009)
    9. Hybrid Arhictectures(2009)
    10. Intelligent Agents(2009)

    KE Elective Course:

    1. Genetic Algorythms(2008)
    2. Case-Based Reasoning(2008)
    3. Fuzzy Systems(2008)
    4. DB Mining & Machine Learning(2008)
    5. Research on Adv IT Topics I(full research project without exam)(2009)
    6. Software Metrics & Process Implementation(2009)
    7. Research on Adv IT Topics II(full research n project without exam)(2009)
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