SQL Server 2005 Business Intelligence: Integration Services and Analysis Services

Hands On Technology Transfer, Inc.
Boise, Cincinnati, Cleveland, Kansas City, Memphis, Milwaukee, Minneapolis, Oklahoma City, Omaha, etc., United States

Course Format: Classroom | E-learning | Virtual Class | Online | On-site | Blended | Self-paced

Course Description:

'' Students Will Learn:Importing Excel and XML Data
Exporting SQL Server Data
Automating ETL Routines
Migrating SQL 2000 DTS packages
Designing Data Warehouses
Creating Cubes
Mining Data
Managing Cube Security

Description: This hands-on course walks students through the complete data warehousing and data mining process. Students will design and create data warehouses using Microsoft SQL Server 2005. Then the Business Intelligence Development Studio (BIDS) will be used to create SQL Server Integration Services (SSIS) routines to move records from a relational database into the data warehouse. Once the data warehouse is populated, the data will be explored using SQL Server Analysis Services (SSAS). BIDS will again be used to create cubes to support business decisions. Hands-on exercises will use the cubes to develop Key Performance Indicators (KPI) and custom performance measures. Additional exercises will demonstrate how to update and manage cubes. Analysis Service’s support of data mining is also covered, and hands-on labs will configure data mining algorithms to search for patterns and trends in the data. In addition to using SSIS to support data warehouses, students will also complete labs that demonstrate how to use the ETL utility to move data in and out of SQL Servers. This includes exercises that import and export data between Excel spreadsheets, Access databases, XML files, flat files and SQL Server. Techniques to clean data will also be demonstrated, such as finding duplicate records or performing look-ups in tables. Other exercises will merge data from multiple sources, as well as splitting data to multiple destinations. Troubleshooting and security configurations for these Business Intelligence services are incorporated throughout the course.

Prerequisites: Familiarity with database concepts and Windows desktop navigation. Attendance at HOTT’s 3-day SQL Programming course, or equivalent knowledge, is recommended but not required.

SQL Server 2005 Business Intelligence: Integration Services and Analysis Services Course Overview:
Installing SQL Server BI Tools
Requirements for Installation
Steps to Install SSIS and SSAS
Using BIDS to Create BI Projects
BI Editions Compared
Integration Services Architecture
Architecture of the SSIS Data Engine
Using Data Transformation Tasks
Managing Connections to Sources and Destinations

Common SSIS Control Flow Tasks
Executing SQL Statements
Connecting to XML Data Sources
Connecting to FTP Servers
Sending Emails
Notifying Administrators of Errors
Completing Bulk Data Inserts
Common Data Transformations
Changing Datatypes
Merging Data
Sending Data to Multiple Destinations
Counting Records
Sampling Records
Sorting Data
Copying Columns

Advanced SSIS Control Flow Tasks
Interacting with the File System
Executing .NET Scripts
Using the WMI Tasks
Using Loops with Control Flow Tasks
Using System Variables in Tasks
Advanced Data Transformations
Using Fuzzy Lookups and Fuzzy Grouping
Conditionally Splitting Data
Merging Data
Using Term Lookups

Migrating SQL Server 2000 DTS Packages
Using the Upgrade Advisor
Running Legacy DTS Packages on SQL Server 2005
Migration DTS Packages to SSIS
Automating SSIS Routine Execution
Deploying SSIS Routines to SQL Servers
Manually Running SSIS Routines Automating SSIS Routine Execution
Configuring Automatic Notifications of SSIS Routine Execution

OLAP Design
Understanding Facts and Dimensions
Modeling Slowly Changing and Rapidly Changing Dimensions
Defining Fact Tables
Using Star and Snowflake Schemas
Working with Surrogate Keys
Defining Business Keys
Creating Data Warehouses
Creating OLAP Data Warehouses
Creating Fact Tables
Adding Dimension Tables
Joining Fact Tables to Dimension Tables
Loading Data into Data Warehouses

Creating and Managing Cubes
Customizing Cube Dimensions
Processing Dimensions
Adding Time-Based Dimensions
Defining Business Measures
Creating Parent-Child Dimensions
Customizing Cubes
Adding Key Performance Indicators
Customizing Dimensions
Adding Translations to Support Multiple Languages
Translating Currency Values
Adding Custom Calculations

SSAS Management
Deploying Cubes to SSAS Servers
Processing Cubes
Implementing Security on Cubes
Defining Aggregation Levels
Partitioning Cubes for Efficient Storage
Adding Proactive Caching to Cubes
Managing SSAS Servers
Multidimensional (MDX) Queries
Writing MDX Queries to Pull Data from Cubes
Using MDX Functions
Working with Financial Functions
Defining Custom Calculations for Cubes Using MDX Functions

Understanding the Data Mining Process
Types of Business Analysis Supported by Data Mining
Data Mining Process Explained
Understanding the Key Components of Data Mining
Matching Mining Algorithms to Business Needs
Working with Data Mining Structures
Adding Data Mining Structures
Mining for Hidden Information
Discovering Patterns in Data
Creating Predictive Models
Using the Data Mining Wizard
Modifying Mining Structures with the Data Mining Designer

...''

Phone:1-800-413-0939

School Address:

Hands On Technology Transfer, Inc.
14 Fletcher Street
One Village Square, Suite 8
Chelmsford, MA 01824 USA


Jobs & Resumes: Boise, Cincinnati, Cleveland, Kansas City, Memphis, Milwaukee, Minneapolis, Oklahoma City, Omaha
Houses & Roommates: Boise, Cincinnati, Cleveland, Kansas City, Memphis, Milwaukee, Minneapolis, Oklahoma City, Omaha

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