Sql Saturday Costa Rica-SSAS Tabular Model

SSAS Tabular Model

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SSAS Tabular Model

Conceptos Historia y RoadMap de SSAS. SSAS Tabular vs Multidimensional Demo Que es lo nuevo Consideraciones

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¿Por qué utilizar Base de datos Analíticas?

Acceso a datos con alto rendimiento.

Consultas analíticas. Entrega de datos en

lenguaje natural. Self-Services. Funcionalidades de

navegación (Jerarquías), KPI.

Minería de datos.

¿Evolución de SSAS?

OLAP Services

Sql Server 7

Sql Server 2000

Sql ServerAnalysis Services

Sql Server 2005

Sql Server 2008

Sql Server 2008 R2

Sql Server 2012

Power Pivot(Excel -SP)

Tabular Model

¿Qué es SSAS?

BISM (2012/2014) Business Intelligence Semantic Model

UDM (2005-2008 R2) Unified Dimensional Model

Data Mining Model Tabular Model

¿Que es BISM?

BISM es un concepto. Es un modelo de datos que los usuarios pueden consultar. No necesitas comprender la complejidad de los repositorios de

datos. BISM provee: Modelo de datos Lógica de negocio Acceso a datos.

Se puede implementar en 3 tecnologías: MOLAP SSAS Tabular Mode Sharepoint (PowerPivot)

Visión de BISM

¿Que es Multidimensional Model?

OLAP DB Dimensiones Hechos Almacenamiento optimizado para análisis MDX Agregaciones.

¿Que es Tabular Model?

Nuevo Motor DB (xvelocity) Metodología de desarrollo basado en el modelo

relacional. Base de datos columnar. Compresión de datos. Acceso en tiempo real (DirectSql)

¿SSAS Tabular vs Multidimensional?


Tabular Menores tiempos de

desarrollo. Alto rendimiento. Características

limitadas. Almacenamiento en

Memoria. Disponible en ediciones

BI y Empresarial.

Multidimensional Soporte para cubos de

gran volumen. Principal

almacenamiento en disco duro.

Disponibles en todas las ediciones de Sql Server.

¿SSAS Tabular vs Multidimensional?Acceso a orígenes de datos

Tabular Base de datos

relacionales. SSAS

multidimensional. Data Feed. Text Files.

Nota: Existe restricciones si se utiliza configuración DirectQuery.

Multidimensional Base de datos

relacional.

¿SSAS Tabular vs Multidimensional?Acceso a datos

Tabular Cache (Xvelocity) datos

en memoria, almacenamiento secundario.

Online (DirectQuery).

Nota: Existe restricciones si se utiliza configuración DirectQuery.

Multidimensional MOLAP datos en disco

y cache de servidor. ROLAP datos online

¿SSAS Tabular vs Multidimensional?Rendimiento

Escenario Multidimensional MOLAP

Tabular In-Memory Mejor Rendimiento

Reportes de baja granularidad de datos

Lectura desde disco Lectura de RAM. Tabular In –Memory.

Reportes con agregaciones, no en

cache.

Lectura de agregaciones en disco.

Lectura de datos en RAM y Agregación en memoria.

Tabular In –Memory.

Reportes con agregaciones en cache.

Lectura en RAM Lectura de datos en RAM y Agregación en memoria.

Multidimensional.


Featuregroup

Decisioncriteria

Multidimensional/Tabular

Multidimensionalmodeling

Tabularmodeling

Time to solution / Longer time to solution.

Shorter time to solution.

Learning curve

/

Dimensional modeling and MDX language create a steeper learning curve but natively provide more complex capabilities.

Relational modeling and Excel-like DAX language create a less steep learning curve but complex capabilities may require sophisticated DAX expressions.

Data model Data relationships

/

One-to-many.Many-to-many.Reference relationships must be explicitly modeled.

One-to-many.Many-to-many requires DAX expressions.Modeling table relationships creates reference relationships.

(Microsoft, Choosing a Tabular or Multidimensional Modeling Experience in SQL Server 2012 Analysis Services)


Featuregroup

Decisioncriteria



Tabularmodeling

Data model Hierarchies

/

Native support for standard, ragged, and parent-child hierarchies

Native support for standard hierarchies. Parent-child hierarchies require DAX expressions.

Data model Additional data modeling features /

Perspectives, translations, actions, drillthrough, stored procedures, and write-back.

Perspectives and drillthrough.

Business logic Calculation language

/ MDX DAX

Business logic Calculations/

Native support for common and complex calculations.

Native support for common and many complex calculations.



Featuregroup

Decisioncriteria



Tabularmodeling

Business logic Aggregation functions

/

Sum, Count, Min, Max, Distinct Count, None, ByAccount, AverageOfChildren, FirstChild, LastChild, FirstNonEmpty, and LastNonEmpty.

Sum, Count, Min, Max, Average, DistinctCount, and various time intelligence functions like FirstDate, LastDate, OpeningBalanceMonth, and ClosingBalanceMonth.

Business logic Hierarchy logic

/

Functions to navigate standard and parent-child hierarchies.

DAX functions to navigate parent-child hierarchies, DAX expressions to implement logic in standard dimensions. Hierarchy logic generally more difficult using DAX.



Featuregroup

Decisioncriteria



Tabularmodeling

Business logic KPIs/

Actual, goal, status, and trend with graphical indicators

Actual, goal, and status with graphical indicators.

Business logic Currency conversion /

Supports multi-currency conversion using the Business Intelligence Wizard.

Implement using DAX expressions.

Data access and storage

Scale/

Extremely large scale (multi-terabyte)

Large Scale (Billions of records)


Performance

/

Indexes and preaggregated measure values stored on disk. Dimension data and query results cached in memory. Approximately 3x data compression.

In memory column-based data storage. Approximately 10x data compression.



Featuregroup

Decisioncriteria



Tabularmodeling


Data sources

/Relational databases. Relational

databases, Excel, Text, OData feeds, Azure Data Market, Analysis Services.


Query language /

MDX DAX

MDX (In-Memory mode only)


Data storage

/

MOLAP - Dimension, fact, and aggregated data stored on disk. Dimension data and query results cached in memory.

ROLAP – Dimension, fact, and aggregated data stored in a relational database.

In-Memory - All data cached in memory utilizing column-oriented xVelocity analytics engine

DirectQuery – Data stored in SQL Server 2012.



Featuregroup

Decisioncriteria



Tabularmodeling


Data compression /

Typically 3x. Typically 10x.


Client tools

/

Excel, Reporting Services, Microsoft PerformancePoint, and other third-party client tools.

Reporting Services Power View supported in future SQL Server versions.

Reporting Services Power View, Excel, Reporting Services, PerformancePoint, and other third-party client tools.



Featuregroup

Decisioncriteria



Tabularmodeling


Programmability

/

XMLA, ASSL, ADOMD.NET, MSOLAP, AMO, Windows PowerShell for AMO. Developed for use with multidimensional models.

XMLA, ASSL, ADOMD.NET, MSOLAP, AMO, PowerShell for AMO. Available but less intuitive for use with tabular models.

Security Security/

Dimension member and cell-level security.

Dynamic Security.

Row-level security.

Dynamic Security.


¿ Que es lo nuevo?

Soporte de crear Power View en el modelo multidimensional (SQL Server 2012 Service Pack 1 Cumulative Update 4)

Actualización de SSDT – BI Visual Studio 2012 Visual Studio 2013

Soporte nativo de Power View en Sql Server 2014 (SQL Server 2014 Reporting Services (in SharePoint mode)

Nota: Power View Add-in in Excel 2013, no soporta Multidimensional Model.

ConsideracionesMultidimensional: Enfoque de BI

Data Model Complexity

SSAS MultidimensionalVisual Studio

Requerimientos de Usuarios

(Marco Russo, BISM: Multidimensional vs.Tabular)

ConsideracionesTabular: Enfoque de BI

Data Model Complexity

Requerimientos de Usuarios

PowerPivotfor Excel

PowerPivotfor SharePoint

SSAS Tabular

EXCEL

Visual Studio


ConsideracionesHardware

Feature Multidimensional Tabular

RAM Some (16/32 Gb) A lot (64/128 Gb)

RAM Speed Important Crucial

Number of cores 4/8/16 4/8/16

Core speed Less Important Crucial

Disk speed Very Important Useless

SSD Disk Usage Strongly recommended Useless

Network speed Important Important

Concurrency Pretty good Not enough experience…


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Sql Saturday Costa Rica-SSAS Tabular Model

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