MCSE: Business Intelligence SQL 2012 Certification Training

"Instructors were very knowledgeable and patient. CED Solutions is great. I am very satisfied. Not only is the facility great, the staff made the experience great as well. I haven't been treated so well since I moved out of my parents house! It made getting my MCSE Certification an enjoyable experience."

-Mark Mitzenmacher, San Antonio, TX

Custom Training Quote

• Jul 08 - Jul 19, 2013
• Oct 14 - Oct 25, 2013

• Includes roundtrip airfare and lodging
  
  (Atlanta and Fort Lauderdale boot camps only)
• Hands-on instruction by a certified instructor
• Includes all course materials and practice exams
• Onsite Testing
• Breakfast and Lunch provided each day

Can't travel or you want to stay with your family or business. No problem! Stay in your own city and save the additional expenses of roundtrip airfare, lodging, transportation, and meals and receive the same great instruction live from our instructors in our Live Instructor-Led Remote Classroom Training.

Remote Classroom Training

Our Remote Classroom Training is a live class with students observing the instructor and listening through your computer speakers. You will see the instructor's computer, slides, notes, etc., just like in the classroom. You will be following along, doing work, labs, and individual assignments.

Future-proof your BI expertise by earning the MCSE: Business Intelligence certification, your gateway to the skills and techniques needed to design, build, and deploy solutions that deliver more data to more people across the organization.

• Microsoft Course 10778 (Exam 70-466)
• Microsoft Course 20467 (Exam 70-467)

Prerequisites

The MCSA: SQL Server 2012 certification

Microsoft Course 10778

Exam 70-466 - This instructor-led course describes how to empower information workers through self-service analytics and reporting. Students will learn how to implement PowerPivot and tabular data models, create and deliver rich data visualizations with Power View and SQL Server Reporting Services, and discover business insights by using data mining.

This course helps students prepare for Exam 70-466.

Audience Profile

The primary audience for this course are database professionals who need to fulfill BI Developer role to create analysis and reporting solutions. Primary responsibilities will include:

• Implement reporting solutions by using SQL Server Reporting Services
• Implementing multidimensional databases by using SQL Server Analysis Services
• Creating tabular semantic data models for analysis by using SQL Server Analysis Services
• Create visualizations of data by using Power View
• Create data mining solutions by using SQL Server Analysis Services

At Course Completion

• Describe the components, architecture, and nature of a BI solution.
• Create reports with Reporting Services.
• Create reusable report items that simplify self-service reporting.
• Manage a reporting infrastructure.
• Create a multidimensional database with Analysis Services.
• Implement dimensions in a cube.
• Implement measures and measure groups in a cube.
• Use MDX Syntax.
• Customize a cube.
• Implement a Tabular Data Model in PowerPivot.
• Use DAX to query a tabular model.
• Implement a Tabular Database.
• Use Power View to create interactive data visualizations.
• Use Data Mining for predictive analysis.

Course Outline

Module 1: Introduction to Business Intelligence and Data Modeling

This module provides an introduction to Business Intelligence (BI). It describes common BI scenarios, current trends in BI, and the typical roles involved in creating a BI solution. It also introduces the Microsoft BI platform, and describes the roles that SQL Server Denali and SharePoint 2010 play in Microsoft BI solutions.

• Introduction to Business Intelligence
• The Microsoft Business Intelligence Platform

Describe the key BI concepts and the Microsoft BI product suite.

Module 2: Implementing Reports with Reporting Services

This module describes how to create reports with Reporting Services.

• Introduction to Reporting Services
• Creating a Report with Report Designer
• Grouping and Aggregating Data in a Report
• Showing Data Graphically
• Filtering Reports Using Parameters

Create reports with Reporting Services.

Module 3: Supporting Self-Service Reporting

This module describes how to create reusable report items that simplify self-service reporting.

• Introduction to Report Builder
• Creating Reusable Report Items

Create reusable report items that simplify self-service reporting.

Module 4: Managing a Reporting Infrastructure

Describes how to manage a reporting infrastructure.

• Managing Security
• Managing Report Execution
• Delivering Reports with Subscriptions
• Troubleshooting Reporting Services

Manage a reporting infrastructure.

Module 5: Creating Multidimensional Databases

This module provides an introduction to multidimensional databases and introduces the core components of an OLAP cube.

• Introduction to Multidimensional Analysis
• Creating Data Sources and Data Source Views
• Creating a Cube
• Overview of Cube Security

Create a multidimensional database with Analysis Services.

Module 6: Working with Cubes and Dimensions

This module describes how to create multidimensional databases and introduces the core components of an OLAP cube

• Configuring Dimensions
• Defining Attribute Hierarchies
• Sorting and Grouping Attributes

Implement dimensions in a cube.

Module 7: Working with Measures and Measure Groups

This module describes how to implement measures and measure groups in a cube.

• Working With Measures
• Working with Measure Groups

Implement measures and measure groups in a cube.

Module 8: Introduction to MDX

In this module, students will learn the fundamentals of Multidimensional Expressions. Students will also learn about building calculations, such as calculated members and named sets.

• MDX Fundamentals
• Adding Calculations to a Cube
• Using MDX To Query a Cube

Use MDX Syntax.

Module 9: Customizing Cube Functionality

In this module describes how to customize cube functionality by using several technologies available to you in Microsoft SQL Server Denali Analysis Services.

• Implementing Key Performance Indicators
• Implementing Actions
• Implementing Perspectives
• Implementing Translations

Customize a cube.

Module 10: Implementing a Tabular Data Model by Using Microsoft PowerPivot

This module explains how to install and use the PowerPivot for Excel add-in and the PowerPivot for SharePoint gallery. It also provides an introduction to the concepts underlying these technologies, such as the BI Semantic Model and Tabular Data Models.

• Introduction to Tabular Data Models and PowerPivot Technologies
• Creating a Tabular Data Model by Using PowerPivot for Excel
• Sharing a PowerPivot Workbook and Using PowerPivot Gallery

Implement a Tabular Data Model in PowerPivot.

Module 11: Introduction to Data Analysis Expression (DAX)

This module explains the fundamentals of the DAX language. It also explains how you can use DAX to create calculated columns and measures, and how you can use these in your Tabular Data Models.

• DAX Fundamentals
• Using DAX to Create Calculated Columns and Measures in a Tabular Data Model

Use DAX to create measures and calculated columns in a tabular data model.

Module 12: Implementing an Analysis Services Tabular Data Model

This module describes Analysis Services Tabular Data Models and explains how to develop a Tabular Data Model by using the Business Intelligence Development Studio.

• Introduction to Analysis Services Tabular Data Model Projects
• Implementing an Analysis Services Tabular Data Model in Business Intelligence Development Studio

Implement a Tabular database.

Module 13: Creating Data Visualizations With Power View

This module describes how to use Power View to create interactive data visualizations.

• Introduction to Power View
• Visualizing Data with Power View

Use Power View to create interactive data visualizations.

Module 14: Performing Predictive Analysis with Data Mining

The module describes how to use Data Mining for Predictive Analysis.

• Overview of Data Mining
• Using the Data Mining Add-In for Excel
• Creating a Custom Data Mining Solution
• Validating a Data Mining Model
• Connecting to a and Consuming a Data-Mining Model

Use Data Mining for Predictive Analysis.

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Microsoft Course 20467

This instructor-led course teaches students how to design and implement a BI infrastructure. The course discusses design, installation. the course discusses design, installation, and maintenance of a BI platform.

This course maps to skills and knowledge measured by Microsoft Exam 70-467, and in conjunction with on-the-job experience, can help prepare you for the exam.

Audience Profile

This course is intended for BI professionals such as BI Architects or database professionals who need to design BI solutions. BI Architects are responsible for the overall design of the BI infrastructure, including how it relates to other data systems in use. In addition, their responsibilities include Online Analytical Processing (OLAP) cube design and integration with Microsoft SharePoint or line-of-business applications. Finally, they may apply those skills in a Windows Azure SQL Server database environment.

At Course Completion

After completing this course, students will be able to:

• Plan the components of a BI solution.
• Plan a BI infrastructure.
• Design a data warehouse.
• Design an ETL solution.
• Plan analytical data models.
• Plan a BI delivery solution.
• Design a Reporting Services solution.
• Design an Excel reporting solution.
• Plan a SharePoint Server BI solution.
• Monitor and optimize a BI solution.
• Plan for BI operations.

Prerequisites

Before attending this course, students must have:

• A basic understanding of dimensional modeling (star schema) for data warehouses.
• The ability to create Integration Services packages that include control flows and data flows.
• The ability to create a basic multidimensional cube with Analysis Services.
• The ability to create a basic tabular model with PowerPivot and Analysis Services.
• The ability to create Reporting Services reports with Report Designer.
• The ability to implement authentication and permissions in the SQL Server database engine, Analysis Services, and Reporting Services.
• Familiarity with SharePoint Server and Microsoft Office applications, particularly Excel.

Course Outline

Module 1: Planning a BI Solution

This modules discusses how to plan the components of a BI solution.

• Elements of a BI Solution
• Planning a BI Project
• The Microsoft BI Platform

After completing this module, students will be able to:

• Describe elements of a BI Solution.
• Describe considerations for a BI project.
• Describe how Microsoft products can be used to implement a BI solution.

Module 2: Planning a BI Infrastructure

This modules explains how to plan an appropriate BI infrastructure for a given set of BI services.

• Planning a Data Warehouse Infrastructure
• Planning an ETL Infrastructure
• Planning Analysis Services Infrastructure
• Planning Reporting Services Infrastructure

After completing this module, students will be able to:

• Plan a data warehouse infrastructure
• Plan an ETL infrastructure
• Plan Analysis Services infrastructure
• Plan Reporting Services infrastructure

Module 3: Designing a Data Warehouse

This module explain how to design a data warehouse for a given set of user requirements.

• Designing a Logical Schema
• Designing a Physical Schema

After completing this module, students will be able to:

• Select a data modeling approach.
• Design a physical data warehouse schema

Module 4: Designing an ETL Solution

This module explains how to design an ETL solution for a data warehouse.

• Planning for Data Extraction
• Planning for Data Transformation
• Planning for Data Loading
• Planning for SSIS Package Deployment

After completing this module, students will be able to:

• Plan data extraction in an ETL solution.
• Plan data transformation in an ETL solution.
• Plan data loading in an ETL solution.
• Plan SSIS package deployment

Module 5: Designing Analytical Data Models

This module explains how to design analytical data models for specific BI scenarios.

• Options for Analytical Models
• Data Model Design Considerations

After completing this module, students will be able to:

• Describe options for analytical models.
• Describe considerations for cube design.

Module 6: Planning a BI Delivery Solution

This module explains how to choose an appropriate delivery solution for a given scenario.

• Considerations for BI Delivery
• Choosing a Delivery Approach

After completing this module, students will be able to:

• Describe considerations for planning a BI delivery solution.
• Choose an appropriate technique for a given scenario.

Module 7: Designing a Reporting Services Solution

This module explains how to design a Reporting Services solution.

• Designing Reports
• Considerations for Report Execution
• Planning a Reporting Solution

After completing this module, students will be able to:

• Plan a reporting solution.
• Describe considerations for report data.
• Describe considerations for report execution.

Module 8: Designing an Excel-Based Reporting Solution

This module explains how to design a reporting solution that uses Excel.

• Using Excel for Data Reporting and Analysis
• PowerPivot in Excel
• Power View in Excel

After completing this module, students will be able to:

• Use Excel to analyze data.
• Use PowerPivot to analyze data.
• Use Power View to analyze data.

Module 9: Planning a SharePoint Server BI Solution

This module explains how to design a SharePoint BI solution.

• Introduction to SharePoint Server as a BI Platform
• Planning Security for a SharePoint Server BI Solution
• Planning Reporting Services Configuration
• Planning PowerPivot Configuration
• Planning for PerformancePoint Services

After completing this module, students will be able to:

• Describe key considerations for using SharePoint for BI
• Describe key considerations for security when using SharePoint for BI
• Plan the deployment and configuration of Reporting Services in SharePoint Integration Mode
• Plan the deployment and configuration of PowerPivot
• Plan PerformancePoint Services in a SharePoint site

Module 10: Monitoring and Optimizing a BI Solution

This module explains how to monitor and optimize a BI solution.

• Overview of BI Monitoring
• Monitoring and Optimizing the Data Warehouse
• Monitoring and Optimizing Analysis Services
• Monitoring and Optimizing Reporting Services

After completing this module, students will be able to:

• Plan BI monitoring.
• Plan data warehouse monitoring and optimization.
• Plan Analysis Services monitoring and optimization.
• Plan Reporting Services monitoring and optimization

Module 11: Planning BI Operations

This module explains how to plan management and maintenance operations for a BI solution.

• Overview of BI Operations
• Automating ETL Tasks
• Post ETL Tasks
• Planning a Backup Strategy for a BI Solution

After completing this module, students will be able to:

• Plan BI operations.
• Plan ETL operations.
• Plan post-ETL tasks.
• Plan backup for a BI solution.

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