Building an Azure Analysis Services Model on Top of Azure Blob Storage—Part 3

Part 2 finished with the deployment of a scalable Tabular 1400 model in Azure Analysis Services on top of Azure Blob storage. Part 3 continues the story by attempting to load up to 1 TB of TPC-DS source data into the model–hosted on the largest server that Azure Analysis Services offered at the time of… Read more

Update to Auto-Partitioning Code Sample & Whitepaper

A new version of the whitepaper and code sample of automated partition management (see here for more info) is released! Enhancements include the following. Support for 1400 models with M partitions and M expressions. Query partitions (with queries of the data source dialect) are still supported. Auto retry n times on error for near-real time… Read more

Building an Azure Analysis Services Model on Top of Azure Blob Storage—Part 2

The first part in this series covering Azure Analysis Services models on top of Azure Blob Storage discussed techniques to implement a small Tabular 1400 model based on synthetic TPC-DS source data. This second part continues the journey to take Tabular 1400 in Azure Analysis Services to larger scale factors—up to the maximum capacity that… Read more

What’s new in SQL Server 2017 CTP 2.1 for Analysis Services

The public CTP 2.1 of SQL Server 2017 is available here! This public preview includes the following enhancements for Analysis Services tabular models. Shared M expressions are shown in the SSDT Tabular Model Explorer, and can be maintained using the Query Editor. Data Management View (DMV) improvements. Opening an file with the .MSDAX extension in… Read more

Building an Azure Analysis Services Model on Top of Azure Blob Storage—Part 1

In a comment to a recent blog article, Bill Anton raised a question about the target scenarios for the modern Get Data experience in Tabular 1400 models, especially concerning file-based data sources. So, let’s look at a concrete example from my personal to-do list: Building a Tabular model on top of industry standard synthetic data… Read more

1400 Compatibility Level in Azure Analysis Services

We are excited to announce the public preview of the 1400 compatibility level for tabular models in Azure Analysis Services! This brings a host of new connectivity and modeling features for comprehensive, enterprise-scale analytic solutions delivering actionable insights. The 1400 compatibility level will also be available in SQL Server 2017 Analysis Services, ensuring a symmetric… Read more

SSMS Improvements for Analysis Services in the April 2017 Release

The April 2017 Release of SSMS for Analysis Services is the first release with support for the modern Get Data experience. This release also features additional capabilities for the DAX parser, which come in handy when authoring or fine-tuning queries in the DAX Query Window. Azure Analysis Services now also supports Multi-Factor Authentication (MFA) based… Read more

What’s new in SQL Server 2017 CTP 2.0 for Analysis Services

The public CTP 2.0 of SQL Server 2017 on Windows is available here! This public preview includes the following enhancements for Analysis Services tabular. Object-level security to secure model metadata in addition to data. Transaction-performance improvements for a more responsive developer experience. Dynamic Management View improvements for 1200 and 1400 models enabling dependency analysis and… Read more

Introducing a DAX Editor Tool Window for SSDT Tabular

The April 2017 release of SSDT Tabular for Visual Studio 2015 and 2017 comes with a DAX editor tool window that can be considered a complement to or replacement for the formula bar. You can find it on the View menu under Other Windows, and then select DAX Editor, as the following screenshot illustrates. You… Read more

New Get Data Capabilities in the GA Release of SSDT Tabular 17.0 (April 2017)

With the General Availability (GA) release of SSDT 17.0, the modern Get Data experience in Analysis Service Tabular projects comes with several exciting improvements, including DirectQuery support (see the blog article “Introducing DirectQuery Support for Tabular 1400”), additional data sources (particularly file-based), and support for data access options that control how the mashup engine handles… Read more