SSAS TABULAR MODEL HOW TO

Reza Rad is a Microsoft Regional Director, an Author, Trainer, Speaker and Consultant.

SSAS TABULAR MODEL HOW TO

this article explains how to create rules, configure security, implementing dynamic security and using impersonation settings. Tabular provides a powerful security models based on rules and row-level security with help of DAX functions and expressions. This article explained how to estimate size of hardware required for good performance with your tabular solution. so hardware sizing will be one of the most important decision on your tabular solution in production environment. SSAS Tabular performance is mainly based on system resources like Memory and CPU. Article below published by Microsoft do a comparison between Multidimensional and Tabular, and provide a comparison matrix for you to help you make a better decision about using which modeling method within SSAS 2012. There are some benefits in working with SSAS Tabular like Performace and Simplicity, but there also many benefits in Multidimensional like it is a mature technology and supports extra features. This is an important question, and you need to think about it before starting implementation because when you start a project in one of these methods there is not a conversion wizard to convert project to another method in an easy way. it also explains how to use DirectQuery, enable it and deploy solution based on that.Īfter working with SSAS Tabular, one of the first questions that appears in your mind will be: Which one is better Multidimensional or Tabular? article below explains what are benefits of DirectQuery mechanism rather than xVelocity In-Memory and also explains what are limitations of using this method. This method can be also more useful when you use it as Hybrid mode which comes with two types : DirectQuery with In-Memory, and In-Memory with DirectQuery. Using DirectQuery in the Tabular BI Semantic ModelĬhoosing a Tabular or Multidimensional Modeling Experience in SQL Server 2012 Analysis ServicesĭirectQuery is a method of connecting to SQL Server database directly from SSAS Tabular model, in this method no processing will be required and data will be available real time. Here you can read more about these articles The partitions can be created manually in SSDT or Sql Server but they can be automated by using PowerShell script.Yesterday in New Zealand Business Intelligence users group, attendees asked some questions that encouraged me to provide some links to Microsoft Articles written on SSAS Tabular. In Sql Server 2017 and Sql Azure, SSAS tables and partitions are maintained by M query similar to Power BI and Power Query.

In SSAS Tabular the large tables can be split into the smaller partitions to increase the queries performance and saving time on processing the cube. Partition name: Sales_201901 Select * from Sales where Order_Date >= ‘’ and Order_Date = ‘’ and Order_Date =' + $ThisMonth +' and < ' + $NextMonth +') '+ĬreatePartition $SalesTable $Expression $PartitionToBeCheckedĪs you can see the new partitions have been added to Sales table and this script lists the all partitions in Sales now: For example if we have table named Sales with a date column OrderDate and want to have monthly partitions, the partitions can follow the below pattern : When developing SSAS project in SSDT, the partitions need to be created one by one by specifying the name of the partition and define the data boundary in the partition’s query. In this post I show how to create partitions manually in SSDT and automatically by using PowerShell script and M query.

By the time writing table partitioning is still not supported by Power BI Desktop. One feature that makes SSAS Tabular a good choice for handling the large datasets is table partitioning.Table partitioning allows a big table be split into multiple partitions based on values of one or multiple columns and the main benefit is reducing cube processing time by processing just the required partitions instead of the whole table.

Ssas tabular model