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Showing page 1 of 11 (105 total posts)
  • Join me for 3 Days of SSIS Training in Denmark – Advanced Integration Services 18-20 Nov 2014

    I am honored to announce Advanced Integration Services will be delivered in cooperation with  in Aarhus, Denmark 18-20 Nov 2014. Target Audience The target audience for this course is intermediate SQL Server Integration Services developers (or quick learners) who wish to learn best practices and the more advanced stuff, and those who wish ...
    Posted to Andy Leonard (Weblog) by andyleonard on September 8, 2014
  • AdventureWorks 2014 Sample Databases Are Now Available

      Where in the World is AdventureWorks? Recently, SQL Community feedback from twitter prompted me to look in vain for SQL Server 2014 versions of the AdventureWorks sample databases we’ve all grown to know & love. I searched Codeplex, then used the bing & even the google in an effort to locate them, yet all I could find were ...
    Posted to Jimmy May (Weblog) by aspiringgeek on August 20, 2014
  • Database Design training – for free?

    When I started this blog, my plan was to focus on two main subject areas. One of them is SQL Server, T-SQL, and performance. The other is database design. Looking back over my post history, I honestly cannot say I delivered on the second area. Not because I have nothing to say about database design, but because I found it doesn’t lend itself for ...
  • SQL Saturday #274 Slovenia Recapitulation

    Pure success! I could simply stop here. However, I want to mention again everybody involved in this, and also some who were unfortunately missing. First of all, PASS is the organization that defined SQL Saturdays. And apparently the idea works I have to thank again to all of the speakers. Coming to share your amazing knowledge is something we ...
    Posted to Dejan Sarka (Weblog) by Dejan Sarka on December 23, 2013
  • Fraud Detection with the SQL Server Suite Part 3

    This is the third part of the fraud detection whitepaper. You can find the first part and the second part in my previous blog posts about this topic. Data Preparation The problem of credit card fraud detection is not trivial. With every transaction processed, only a limited amount of data is available, making it difficult if not impossible to ...
    Posted to Dejan Sarka (Weblog) by Dejan Sarka on November 27, 2013
  • CIOs: Stop Mandating Training

    I love to learn about new technology, and I especially love a long deep-dive technical session with a real expert or a well-crafted, inches thick technical book. Even if either one is expensive. Learning is probably my favorite thing to do. Yet I stand before you with an appeal: Stop “sending people to training.” Why would I say such a thing? ...
    Posted to Merrill Aldrich (Weblog) by merrillaldrich on November 4, 2013
  • Logical and Physical Modeling for Analytical Applications

    I am proud to announce that my first course for Pluralsight is released. The course title is Logical and Physical Modeling for Analytical Applications. Here is the description of the course. A bad data model leads to an application that does not perform well. Therefore, when developing an application, you should create a good data model from the ...
    Posted to Dejan Sarka (Weblog) by Dejan Sarka on November 1, 2013
  • Fraud Detection with the SQL Server Suite Part 2

    This is the second part of the fraud detection whitepaper. You can find the first part in my previous blog post about this topic. My Approach to Data Mining Projects It is impossible to evaluate the time and money needed for a complete fraud detection infrastructure in advance. Personally, I do not know the customer’s data in advance. I don’t ...
    Posted to Dejan Sarka (Weblog) by Dejan Sarka on October 29, 2013
  • Data Quality and Master Data Management Resources

    Many companies or organizations do regular data cleansing. When you cleanse the data, the data quality goes up to some higher level. The data quality level is determined by the amount of work invested in the cleansing. As time passes, the data quality deteriorates, and you need to repeat the cleansing process. If you spend an equal amount of ...
    Posted to Dejan Sarka (Weblog) by Dejan Sarka on October 14, 2013
  • Data Mining Resources

    There are many different types of analyses, each one with its own pros and cons. Relational reports have a predefined structure, and end users cannot change it. They are simple to use for end users. Reports can use real-time data and snapshots of data to show the state of a report at specific points in time. One of the drawbacks is that report ...
    Posted to Dejan Sarka (Weblog) by Dejan Sarka on October 10, 2013
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