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  • LINQ to DAX project on CodePlex #dax #tabular #ssas

    Since its release, I've seen a number of scenarios where Analysis Services Tabular is the analytical engine of the reporting section in a larger system. In these conditions, at least a part of the queries sent to Analysis Services are DAX queries generated by code (as a consequence of user interaction or for other reasons). Since ...
    Posted to SQLBI - Marco Russo (Weblog) by sqlbi on May 5, 2014
  • Linqpad – bring the power of LINQ to SQL Server development

    One of my biggest laments about being a SQL Server developer is that the tools provided by Microsoft to do our thang compare woefully to the feature rich, (largely) bug-free, “it-just-works” impression that one gets from seeing the tools available to “other” developers in the Microsoft ecosystem (I’m thinking of our appdev brethren here, the ones ...
    Posted to Jamie Thomson (Weblog) by jamiet on November 20, 2013
  • Using Subjects to Deploy Queries Dynamically

    In the previous blog posting, we showed how to construct and deploy query fragments to a StreamInsight server, and how to re-use them later. In today’s posting we’ll integrate this pattern into a method of dynamically composing a new query with an existing one. The construct that enables this scenario in StreamInsight V2.1 is a ...
    Posted to StreamInsight Team (Weblog) by Roman Schindlauer on August 30, 2012
  • Taming Hopping Windows

    At first glance, hopping windows seem fairly innocuous and obvious. They organize events into windows with a simple periodic definition: the windows have some duration d (e.g. a window covers 5 second time intervals), an interval or period p (e.g. a new window starts every 2 seconds) and an alignment a (e.g. one of those windows starts at 12:00 PM ...
    Posted to StreamInsight Team (Weblog) by Roman Schindlauer on July 3, 2012
  • Changes to the LINQ-to-StreamInsight Dialect

    In previous versions of StreamInsight (1.0 through 2.0), CepStream<> represents temporal streams of many varieties: Streams with ‘open’ inputs (e.g., those defined and composed over CepStream<T>.Create(string streamName) Streams with ‘partially bound’ inputs (e.g., those defined and composed over ...
    Posted to StreamInsight Team (Weblog) by Roman Schindlauer on June 28, 2012
  • New in V1.2: Default Window Output Policies

    Who knows what window output policies in StreamInsight LINQ are? Anyone? Well, you have been using them whenever you have used a window. Output policies specify the timestamps of the result of the aggregation that happens on the window. Even if you didn’t really care about that, you had to specify the output policy parameter for the window. ...
    Posted to StreamInsight Team (Weblog) by Roman Schindlauer on August 3, 2011
  • New in V1.2: LINQ Macros

    StreamInsight LINQ is powerful and expressive. At the same time, the learning curve for a new user can be steep, because the query operators work on a semantically basic level. This means that complex use cases need to be build bottom up, composing the built-in operators to create higher-level query modules, etc. Many such modules are used over ...
    Posted to StreamInsight Team (Weblog) by Roman Schindlauer on July 28, 2011
  • New in V1.2: Primitive Event Types

    In a previous posting, we introduced nested types as one of the new features in StreamInsight V1.2. The second improvement in the type system represents the other end of the complexity spectrum, namely the ability to use ''primitive'' event types, without any struct or class. Remember the LINQ statement to compute the distances between two ...
    Posted to StreamInsight Team (Weblog) by Roman Schindlauer on July 25, 2011
  • New in V1.2: Nested Event Types

    One of the focus areas for us in V1.2 was the LINQ surface of StreamInsight. We have straightened out many of the kinks people complained about in previous versions and have added new features. Too many improvements for a single blog post, so today we’ll start with new features in the event type system. One of the big limitations in ...
    Posted to StreamInsight Team (Weblog) by Roman Schindlauer on July 21, 2011
  • Rolling Out 101 Samples

    StreamInsight’s LINQ query and analytics language is powerful and versatile. To ease users and developers over the inevitable initial learning curve, we know that high-quality documentation and a variety of examples are absolutely crucial. While we are trying to improve the former with every new release, we have also maintained a set of samples of ...
    Posted to StreamInsight Team (Weblog) by Roman Schindlauer on May 10, 2011
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