What’s new in Tabular 2016? Polonychko Yevgen

SQLSat Kyiv Team Vitaliy Popovych Mykola Pobyivovk Yevhen Nedashkivskyi Olena Smoliak Oksana Borysenko

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 Евгений Полоничко. 6 лет работы с MSSQL. В основном занимаюсь BI проектами(SSAS, SSIS, PowerBI, Cognos, Informatica PowerCenter, Pentaho, Tableau)  Сейчас работаю в качестве DWH/BI архитектора   twitter:  blog:

Tabular model architecture

Tabular mode  In-memory – по умолчанию режим работы. Движок Vertipaq  DirectQuery – метаданные разворачиваются без данных  In-memory with DirectQuery – в этом режиме необходимо обработать кэш, прежде чем получить доступ к данным  DirectQuery with In-memory - кэш разворачивается и доступен клиенту

How does it work?

SQL Server Analysis Services 2016

New tabular script in SSDT Tabular Model Scripting Language(TMSL) for XMLA JSON Version and model type MultidimensionalTabular 110xTabular 1200 SQL Server 2012ASSL Not Applicable SQL Server 2014ASSL Not Applicable SQL Server 2016ASSL TMSL

New tabular script in SSDT  {  "name": "SemanticModel",  "id": "SemanticModel",  "compatibilityLevel": 1200,  "model": {  "culture": "en-US",  "dataSources": [  {  "name": "SqlServer local AdventureworksDW2016CTP3",  "connectionString": "Provider=SQLNCLI11;Data Source=(local);Initial Catalog=AdventureworksDW2016CTP3;Integrated Security=SSPI;Persist Security Info=false",  "impersonationMode": "impersonateServiceAccount",  "annotations": [  {  "name": "ConnectionEditUISource",  "value": "SqlServer"  }  ]  },  tables": [  {  "name": "DimAccount",  "columns": [  {  "name": "AccountKey",  "dataType": "int64",  "sourceColumn": "AccountKey",  "sourceProviderType": "Integer",  "annotations": [  {  "name": "Format",  "value": " "  }  ]  },

Relationship. Many-to-many? Realy? In practical terms, cross-filtering can enable forms of data exploration typically delivered only through a many-to-many construction. Having said that, it’s important to recognize that bi-directional cross-filtering is not a many-to-many construct. An actual many- to-many table configuration remains unsupported in the designer for tabular models in this release. Bi-directional cross filters

DBCC for SSAS For Tabular databases, consistency checks performed by DBCC are equivalent to the built-in validation that occurs automatically every time you reload, synchronize, or restore a database. In contrast, consistency checks for Multidimensional databases happen only when you run DBCC on demand. Command syntax for Multidimensional and Tabular 110x Command syntax for Tabular

Translation and Display folder

Perfomance  Parallel processing for multiple table partitions  DirectQuery now generates simpler queries that provide better performance  Improved SSDT modeling performance for Tabular 1200 models  Performance optimization: redundant join elimination for VertiPaq and DirectQuery  Update AMO

DAX: variables  We can define VARIABLES in DAX Syntax: VAR = TermDefinition nameThe name of the variable (identifier). Empty spaces are not allowed. expressionA DAX expression which returns a scalar or table value.

DAX: calculate tables A calculated table is a computed object, based on either a DAX query or expression, derived from all or part of other tables in the same model. Role-playing dimension

DAX: new function Over 50 new function Date and Time function Other function Filter Functions Text Functions Math and Trig functions Statistical Functions New function in MSDN

DirectQuery Excel and other MDX clients in DirectQuery mode Import and processing in DirectQuery mode Security in DirectQuery Mode Calculated tables – no, no, no. Calculated columns

21 us/library/bb aspxhttps://msdn.microsoft.com/en- us/library/bb aspx What is read about SSAS 2016?

Do you have any questions?

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