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What Is Microsoft BI?
Modeling source schemas—stars and snowflakes
Understanding the development environment
Excel 2003 Pivot Tables
SharePoint 12 and AS
Product History
The Import and Export Wizard
Launching BIDS
Control Flow Overview
Advanced Control Flow
Containers – grouping and looping
Data Flow Overview
Variables Overview
SSIS debugging overview
Revisiting data sources and destinations
Introduction to SSIS scripting
Configurations and deployment
The SSIS Service
Tour of Features
Deconstructing Reporting Services
Creating Expressions
Creating Groups
Creating Report Parameters
Creating a Basic Matrix Report
Deploying Reports and Data Sources
Two Parts to Reporting Services Security
The Many Reporting Services APIs
Using the Reporting Services Web Service
Caching and Snapshots

MSBI(SSIS, SSRS, SSAS) Online Training Concepts :

SQL Server 2008 Analysis Services

KPIs

Perspectives
Translations – cube metadata and currency localization
Actions – regular, drill-through and reporting
Advanced SSAS

Using multiple fact tables
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, Naïve 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

The Report Builder Architecture

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