MCITP: Business Intelligence / 7 Day Training

Overview

Bootcamp Logistics

Exam Topics Covered

All Inclusive

Business Intelligence Certification Bootcamp

MCITP SQL Server 2008 Business Intelligence 7-Day Bootcamp Classroom Training or On-Line!

This instructor led classroom training is 7 fast paced days of focusing on the technologies of Business Intelligence. We start with lecture/presentation describing the lab environment. Then, we lead you step by step taking data from a OLTP system using the ETL capabilities Integration Services. Next, we guide you through the process of building an Analysis Project using measures and dimensions to form a multi-dimensional cube. From there, we're on to presenting the data to the decision makers in the form of Reporting Service projects.

WE LIMIT OUR CLASS SIZES TO 12 STUDENTS - THIS ALLOWS FOR MORE ATTENTION FROM THE INSTRUCTOR, MORE SPACE FOR STUDENTS TO WORK AND MORE FOCUSED ENVIRONMENT.

SQLCertifications.com & Advanced Custom Training can get you there:

Our student pass the Microsoft Certification Exams. Our resources and methods are second to none. We have a 98% success rate of students passing these exams the first time.

During the course of the class day, we teach you how to use the technology with real world examples. You will actually build a Business Intelligence Solution project from start to finish, with the instructor leading by demonstration throughout the process.

Facilities:

Our facilities are second to none. Our training center is located 45 minutes south of Tampa in beautiful Sarasota. We use top end computer equipment, 20in monitors, cpu's with Virtualization, plenty of memory. Our chairs are comfortable - our desk allow plenty of room for student computer, your laptop and book.

Students stay at Marriott & Hilton brand hotels which provide full studio amenities including flat panel tvs, microwave and refrigerator in every room. Students have access to 20+ restaurants within walking distance of the hotel.

Compare Us To The Competition -

Many of our competitors place 30+ students in a classroom with only one instructor. Often they try to extend the life of very old equipment with lag and slow performance on the software used today. Our competitors often use less than desirable (extended stay) type of hotels in areas not suited for professionals.

Our Microsoft Certified Trainers (MCTs) are not instructors who "read from books". Rather, our trainers are real world consultants who work directly with companies in addition to training our camps.

Set yourself apart from the competition -

Microsoft Certified Technology Specialists in Microsoft SQL Server 2008 Business Intelligence (MCITP: Business Intelligence Developer 2008) implement and maintain business intelligence solutions. Our training focuses on teaching database schemas, debugging, monitoring, and troubleshooting. MCITP Specialist must demonstrate their ability to write database queries, use SQL Server Analysis Services (SSAS) data mining algorithms, and create and deploy SQL Server Reporting Services (SSRS) reports. Additionally, they must possess an understanding of SQL Server Integration Services (SSIS) packages and ETL processes.

The MCITP: Database Administrator 2008 certification requires two exams to achieve this certification 70-448 & 70-452.

Students take both of these test onsite at our training facility while attending our course. Below are the objectives of these exams as presented by Microsoft.

Microsoft SQL Server 2008 Business Intelligence - Implementation and Maintenance

Managing SSAS

Install SSAS.

Install multiple instances of SSAS.
Install a clustered instance of SSAS.
Migrate from SSAS 2000 to SSAS 2008 by using the Migration Wizard.

Configure SSAS.

Configure query logging.
Configure error logging.
Configure disk allocation.

Configure server and database roles and permissions.

Deploy an SSAS solution.

Deploy solutions by using the Deployment Wizard.
Deploy solutions by using XML for Analysis (XMLA) scripts.
Redeploy solutions by using the Synchronize Database Wizard.
Deploy solutions by using BIDS.

Monitor SSAS.

Monitor queries by using SQL Server Profiler.
Monitor SSAS by using the Performance snap-in (PerfMon).

Implement processing for SSAS objects.

Implement processing options.
Implement processing by using SQL Server Management Studio (SSMS), BIDS, and XMLA scripts.

Implement disaster recovery tasks.

Back up and restore the SSAS database files by using SSMS.
Re-create database objects by using XMLA scripts and reprocess.

Developing SSAS Solutions by Using BIDS

Implement security on SSAS database objects.

Implement security on cubes and dimensions.
Implement security on cell data.
Use Multidimensional Expressions (MDX) to define the set.
Grant drillthrough permissions.

Create a cube.

Define translations.
Define perspectives.
Create a cube by using the Cube Wizard.
Define default storage settings for new measure groups.
Modify a cube by using Cube Designer.
Define dimension relationships.
Regular
Reference
Fact
Many-to-many

Create dimensions.

Create user-defined and parent-child hierarchies within a dimension.
Modify properties of user-defined hierarchies and attributes.
Create a role-playing dimension by using the Dimension Usage tab in Cube Designer.
Define storage modes.

Create and maintain measure groups and partitions.

Create measure groups.
Add measures to measure groups.
Modify measure properties.
Create partitions.
Define storage mode settings on partitions.
ROLAP, MOLAP, HOLAP
Proactive caching
Design aggregations on partitions.
Design aggregations by using the Aggregation Design Wizard.
Design aggregations by using custom settings.
Design aggregations by using the Usage-Based Optimization Wizard.

Create key performance indicators (KPIs).

Create value and goal expressions.
Create trend indicators and expressions.
Create status indicators and expressions.

Create actions.

Define the action target.
Define the action content.
Includes type of action and action expression.

Create a data source view (DSV).

Add tables from a data source.
Create relationships.
Add logical primary keys to a table in the DSV.
Create named queries.
Create named calculations.

Create queries and calculations by using MDX.

Query multidimensional data by using MDX.
Create calculations.
Create calculated members in the measures dimension.
Create calculated members in other dimensions.
Create named sets.

Implementing Data Mining by Using BIDS

Create a data mining solution.

Create a data mining structure by using the Data Mining Wizard.
Modify a data mining structure by using Data Mining Designer.
Add multiple models to compare algorithms.
Specify which tables and columns are key, input, and predictable.
Specify a column's content.
Specify case and nested tables.

Select a data mining definition method.

Create a definition from an existing relational database.
Create a definition from an existing cube.

Configure algorithm parameters.

Process a data mining object.
Process a data mining structure by using one of the following options: process full, process structure, or process default.
Process a data mining model by using one of the following options: process full or process default.

Query the data mining model by using Data Mining Extensions (DMX).

Create a data mining report in SSRS to access query results.
Create a DMX query by using the Prediction Query Builder.
Create a DMX query by using SSMS.

Test the data mining model by using mining accuracy charts.

Review the classification matrix.
Review the lift chart.

Implement data mining security.

Grant access to the data mining structure.
Grant access to the data mining model.

Managing SSRS

Manage SSRS reports by using Report Manager.

Create execution properties.
Edit or create report properties.
Examples are history and time-out default.
Create linked reports.
Manage data sources.
Create dynamic credentials by using data source expressions.

Install an SSRS infrastructure.

Install multiple instances of SSRS.
Manage private keys for encryption.

Configure an SSRS infrastructure.

Configure SSRS for Internet deployment.
Enable My Reports to allow users to create linked reports.
Create and configure SSRS instances by using the Reporting Services Configuration tool (Rsconfig.exe).

Deploy SSRS reporting solutions.

Deploy report changes to production by using BIDS.
Deploy Report Builder models.
Upload files to a report server catalog from Report Manager.

Implement SSRS schedules and subscriptions by using Report Manager.

Create shared schedules.
Create report-specific schedules.
Create custom delivery options by using data-driven subscriptions.
Choose a delivery extension and rendering format for subscriptions.

Implement security on SSRS solutions by using Report Manager.

Manage roles.
Assign item-level permissions to a role.
Create and modify system role assignments to manage site-level permissions.
Implement security for My Reports.

Developing Reporting Solutions by Using SSRS

Create reports by using Report Designer.

Set report-level properties.
Page margins, header and footer, and page size.
Create a report by using Report Wizard.
Create report items by using Report Designer.

Create a Report Model for Report Builder.

Import a DSV into a report model project
Create a DSV from a relational database source by using Model Designer.
Create a model from a multidimensional data source by using Report Manager.

Configure report navigation options.

Define report item, toggle visibility, and enable drilldown on another report item.
Implement drillthrough by creating hyperlink actions, including Jump to URL, Jump to Report, and Jump to Bookmark.
Change report behavior of a report by using different parameters within a URL.

Display datasets in data regions.

Apply filters to data.
Group and sort data.
Nest data regions.
Define aggregates.

Control data by applying parameters.

Assign parameter defaults and data types.
Bind datasets to parameters.
Expose parameters to the user interface.

Apply formatting and style.

Apply dynamic formatting by using expressions.
Apply static formatting.

Extend a report by using expressions.

Invoke an embedded function by using expressions.
Integrate an assembly by using expressions.

Create datasets.

Choose the CommandType property for relational data.
Create a dataset by using multidimensional data.
Implement parameters within a query string.

Developing Business Intelligence Solutions by Using SSIS

Create a package.

Use BIDS.
Use the SQL Server Import and Export Wizard.
Use the Package Migration Wizard.

Create data flow by using the data flow designer.

Configure sources and destinations.
Configure transformations.

Create control flow by using the control flow designer.

Sequence tasks by using precedence constraints.
Organize tasks by using containers.
Configure transaction handling for packages, containers, and tasks.
Set checkpoints to define restart points.

Create event handlers.

Implement error handling.

Handle errors by configuring data flow paths.
Handle errors by configuring control flow paths.

Debug packages.

Debug progress reporting.
View intermediate results by using debug windows.
Examine the package state by setting breakpoints.

Administering SSIS Packages

Implement security on SSIS packages.

Enforce authenticity by using digital signatures.
Implement the security of package contents by setting the protection level of a package.
Implement the security of package contents by setting the package password.
Configure msdb database roles, such as db_dtsadmin, for controlling access to packages.

Run SSIS packages.

Execute a package by using the dtexec utility or the DTExecUI utility.
Schedule SSIS packages.
Execute a package by using the SSIS service.

Manage SSIS package execution.

Manage packages by using the DTUtil utility.
Define logging options.
Define execution properties.

Deploy SSIS packages.

Deploy packages to files.
Deploy packages to databases.
Create a package deployment utility.

Manage SSIS package configurations.

Configure and view package configurations by using the Package Configurations Organizer dialog box.
Configure a package by using the Package Configuration Wizard.
Connect to different data source types by adding connection managers.
Edit package configuration variables by using the DTExecUI utility.

The MCITP: Database Administrator 2008 certification requires two exams to achieve this certification 70-448 & 70-452. Students take both of these test onsite at our training facility while attending our course. Below are the objectives of these exams as presented by Microsoft.