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Course Contents 

What Is Microsoft BI?

Core concept BI is the cube or UDM

Example cube as seen using Excel pivot table

MS BI is comprehensive more than Analysis Services on SQL Server

Demonstration of SQL Reporting Services with cube as data source


OLAP Modeling

Modeling source schemasstars and snowflakes

Understanding dimensional modeling Dimensions (Type 1, 2, or 3) or rapidly changing

Understanding fact (measures) and cube modeling

Other types of modelingdata mining etc


Using SSAS in BIDS

Understanding the development environment

Creating Data Sources and Data Source Views

Creating cubes using the UDM and the Cube Build Wizard

Refining Dimensions and Measures in BIDS


Intermediate SSAS



Translations cube metadata and currency localization

Actions regular, drill-through and reporting


Advanced SSAS

Using multiple fact tables

Modeling intermediate fact tables

Modeling M:M dimensions, Fact (degenerate) dimensions, Role-playing dimensions, writeback dimensions

Modeling changing dimensions Dimension Intelligence w/ Wizard

Using the Add Business Intelligence Wizards write-back, semi-additive measures, time intelligence, account intelligence


Cube Storage and Aggregation

Storage topics basic aggregations, MOLAP

Advanced Storage Design MOLAP, ROLAP, HOLAP

Partitions relational and Analysis Services partitions

Customizing Aggregation Design Processing Design

Rapidly changing dimensions / ROLAP dimensions

Welcome to the Real Time Proactive Caching

Cube processing options


Beginning MDX

Basic syntax

Using the MDX query editor in SQL Server Management Studio

Most-used Functions & Common tasks

New MDX functions


Intermediate MDX

Adding calculated members

Adding scripts

Adding named sets

.NET Assemblies


SSAS Administration

Best practices health monitoring

XMLA scripting (SQL Mgmt Studio)

Other Documentation methods

Security roles and permissions

Disaster Recovery backup / restore

Clustering high availability


Introduction to Data Mining

What and why?

Examples of using each of the 9 algorithms (MS Clustering, MS Decision Trees, Nave Bayes, MS Sequence Clustering, MS Time Series, MS Association Rules, MS Neural Network)

Data Mining dimensions

Data Mining clients

Processing mining models


Introduction to Reporting Clients

Excel 2003 Pivot Tables

SQL RS & Report Builder

SPS RS web parts & .NET 2.0 report viewer controls

Business Scorecards 2005 & ProClarity


Future Directions Integration with Office 12

SharePoint 12 and AS

Report Center (type of dashboard) uses KPIs, Reports, Excel Web, Filter

Excel Services 12 and AS (Web Services)



SQL Server 2005 Integration Services 

Introduction to SQL Server Integration Services

Product History

SSIS Package Architecture Overview

Development and Management Tools

Deploying and Managing SSIS Packages

Source Control for SSIS Packages


SSIS for DBAs: Using SQL Server Management Studio

The Import and Export Wizard

Importing and Exporting Data

Working with Packages

Database Maintenance Plans

Creating Database Maintenance Plans using SSMS

Scheduling and Executing Plans

Examining Database Maintenance Plan Packages

Changes in SQL Server 2005 Service Pack 2


Business Intelligence Development Studio

Launching BIDS

Project templates

The package designer

The Toolbox

Solution Explorer

The Properties window

The Variables window

The SSIS menu


Introduction to Control Flow

Control Flow Overview

Precedence Constraints

The Execute SQL Task

The Bulk Insert Task

The File System Task

The FTP Task

The Send Mail Task


Advanced Control Flow

Containers grouping and looping

The Web Service Task

The WMI tasks

The Analysis Services tasks

The Execute Process Task

The Execute Package Task


Introduction to Data Flow

Data Flow Overview

Data Sources

Data Destinations

Data Transformations

The Copy Column Transformation

The Derived Column Transformation

The Data Conversion Transformation

The Conditional Split Transformation

The Aggregate Transformation

The Sort Transformation

Data Viewers


Variables and Configurations

Variables Overview

Variable scope

SSIS system variables

Using variables in control flow

Using variables in data flow

Using variables to pass information between packages

Property expressions

Configuration Overview

Configuration options

Configuration discipline


Debugging , Error Handling and Logging

SSIS debugging overview

Breakpoints in SSIS

SSIS debugging windows

Control Flow: The OnError event handler

Data Flow: Error data flow

Configuring Package Logging

Built-in log providers


Advanced Data Flow

Revisiting data sources and destinations

The Lookup Transformation

Getting Fuzzy: The Fuzzy Lookup and Fuzzy Grouping Transformations

The Multicast Transformation

The Merge and Merge Join Transformations

The Data Mining Query Transformation

The Data Mining Model Training Destination

The Slowly Changing Dimension Transformation


Extending SSIS through Custom Code

Introduction to SSIS scripting

The SSIS script editor

The SSIS object model

Script in Control flow: The Script Task

Script in Data flow: The Script Component

Introduction to SSIS component development


SSIS Package Deployment

Configurations and deployment

The deployment utility

Deployment options

Deployment security

Executing packages DTExec and DTExecUI


SSIS Package Management

The SSIS Service

Managing packages with DTUtil

Managing packages with SQL Server Management Studio

Scheduling packages with SQL Server Agent



SQL Server 2005 Reporting Services 

Introducing SQL Server Reporting Services

Tour of Features

Reporting Services Architecture

Reporting Services Terminology

Reporting Services Editions

Taking Reporting Services for a Spin


Creating Reports

Deconstructing Reporting Services

Shared Data Sources

Creating Reports from Scratch


Calculations and Formatting

Creating Expressions

Using the Global Collections

Formatting Items

Conditional Formatting



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January 25, 2014 — 9:00 am to
December 25, 2018 — 6:00 pm

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