Dear Readers of MyBlog,

I would like to wish everyone who read my blog a warm and joyful Merry Christmas – 25 December 2008. May God bless all of us and our family.
And also wish you a all the best and success in this coming New Year – 1 January 2009. May next year will bring us more joy, happiness and success…and more BI/DW projects 😉

Cheers Everyone.


We all know that sometimes when we install or uninstall .net Framework, we always came across some issues and there’s no easy way to clean it up. But Aaron Stebner’s tool will help us to clean it up. You can download the tool from here.


Finally I got a chance to start my own blog –  a place where I can share my knowledge in Data Warehousing and Business Intelligence area, especially with Microsoft BI stack.

Blogging is actually a good way to learn from each other. So feel free to give comments.

As a start, I have several old and recent news around Microsoft BI stack that I think very useful to share:

  1. Report Builder 2.0 has been released on last 17th October. Download it here. The last piece of Reporting Services 2008 that allow developers, power user and  ad-hoc users power to create and publish their own report.  With Microsoft Office 2007 look-and-feel , this tool provides full features or SSRS 2008 – namely: new data layout, visualization and rich formatted text.
    The tool also allow user to edit deployed report directly from report server.
  2. SQL 2008 Cumulative Update 1 can be downloaded from here.
  3. SQL 2008 Features pack – August 2008 can be downloaded from here.
  4. If you are dealing with SSIS 64bits and Oracle, have a look at this post from Eran Sagi. It provides very useful information about problems and solutions.
  5. Jasper Smith has provided us a very useful tool to allow us, especially developer to generate reporting services script. He also developed a tool to generate linked report, which can be found here. Both tools are very useful in order to automate Reporting Services deployment process.

I will be focusing on SSIS and SSAS (OLAP Cube and Data Mining) in my next posts.