SSASCoding Conventions, Best Practices, Tips and Programming Guidelines

BY-VISHAL PAWAR

Data Source Design Best Practices

Dimension Design Best Practices

Cube Design Best Practices

Partition Design Best Practices

IgnoreUnrelatedDimensions property usage

AggregationUsage Property

Partitioning the measure groups

Use Service Account for Deployments

Eliminate Data type conversions

Enhancing Dimension Processing Performance

Aggregation Design Best Practices

Use only supported OLEDB Providers

Defining default member

partitions to physically segregate active data

SSAS installation To Do’s Tuning Server ResourcesUsage Based

Optimization WizardData Source Network

Packet SizeUse Views as the Source for Cubes & Dimensions

Relational Data Source Design

OLAP aggregations to optimize data retrieval

Handling Dimensions with Many Children

Understanding Member Unique Names

Limitations of Static Named Sets

Highly Normalized – Be Prepared to Pay Price

SSAS Internal Architecture

Edition specific SSAS development using BIDS

Create Grouping Levels Manually

XMLA script to perform certain processing

Analysis Services Aggregation Designs

Moving Calculations to the Relational Engine

Use Views – Provide an Abstraction Layer

use SSAS 2008 Warning Framework effectively

Drill Down for SSAS Use Member Properties

Cloning Partitions and Aggregations

differences between MOLAP and ROLAP

(SSAS) 2012 Top and Bottom Functions

Use Views – Query Binding Dimensions

Role Playing DimensionsSSAS Dynamic

Management ViewsRole of MDX

Creating an Empty Partition

SSAS Flavors of AnalysisSSAS Processing Error

Configurations SSAS linked objects in SSASMachine Learning with

Data mining SSAS instance/hardware resources optimization

Multidimensional is a Dimensional Model

SSAS PerspectivesModifying fact and

dimension relationshipsSSAS ProcessAdd for a

PartitionIsolation, Timeout, and Maximum Connections

DirectQuery Mode in SQL Server 2012

Use Unified Dimension Model (UDM)

Selecting a Recovery Mode for Warehouse

dimension editor for clear presentation

data security using SSAS roles

Use Views – Processing Through Views

Dynamic XMLA using T-SQL for SSAS

SSAS Logistic Regression Data Mining

Combine Multiple Data Sources in SSAS

Tuning Relational Partition Query

SSAS report actions to access reports

Include only Required columns for Processing

a cross tab report is easy in SSAS

Named Calculation and Named Query

Neural Network Data Mining Algorithm SSAS

ASSL- (Analysis Service Scripting Language)

Understanding and Measuring Processing

SQL Server Analysis Services Discretization

Specify attribute relationship type

Fact & Dim direct, referenced, m to m

Turn Off the Attribute Hierarchy, Use Property

Define cascading attribute relationships

DMX- (Data Mining Extensions)

Optimizing MDXProcessing the test

partitionsCreate a ‘Static Speed’

View for testingCreating user defined

hierarchiesAttributeHierarchyVisibl

e propertyAppropriately set

KeyColumns propertyOLAP calculated

members with MDX

Maximizing the Value of Aggregations

Query Processor Architecture

Cache Warming Cube Synchronization Cube ProcessingReferenced relationship

of dimension & groupDistinct count measures

Maximizing the Value of Aggregations

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