MOC 10778 - Implementing Data Models and Reports with Microsoft SQL Server 2012

Delivery Options

• Live Online Training - Public Class (5 days): $2,375.00 (Register)

» Register Now

» Free Demo

» Watch Presentation

» More Info

» Contact Education Consultant

• Customized Onsite Training (5 days): Request a Proposal

Class Date and Time	Price Volume Discounts Students Discounts 2 5% 3-4 10% 5 or more 15% GSA Price: $2,256.25
Jun 10 - 14, 2013 10:00 AM - 6:00 PM ET	$2,375.00 or 5 vouchers vouchers	Register Now
Jul 8 - 12, 2013 10:00 AM - 6:00 PM ET	$2,375.00 or 5 vouchers vouchers	Register Now
Aug 5 - 9, 2013 10:00 AM - 6:00 PM ET	$2,375.00 or 5 vouchers vouchers	Register Now
Sep 9 - 13, 2013 10:00 AM - 6:00 PM ET	$2,375.00 or 5 vouchers vouchers	Register Now
Sep 30 - Oct 4, 2013 10:00 AM - 6:00 PM ET	$2,375.00 or 5 vouchers vouchers	Register Now
Oct 28 - Nov 1, 2013 10:00 AM - 6:00 PM ET	$2,375.00 or 5 vouchers vouchers	Register Now
Nov 18 - 22, 2013 10:00 AM - 6:00 PM ET	$2,375.00 or 5 vouchers vouchers	Register Now
Dec 16 - 20, 2013 10:00 AM - 6:00 PM ET	$2,375.00 or 5 vouchers vouchers	Register Now

Show More Classes

Class Description

Class Overview

Class Goals

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

Class Outline

1. Introduction to Business Intelligence and Data Modeling
   1. Introduction to Business Intelligence
   2. The Microsoft Business Intelligence Platform
   3. Lab: Reporting and Analyzing Data
      1. Exploring a Reporting Services report
      2. Exploring a PowerPivot workbook
   4. Describe the key BI concepts and the Microsoft BI product suite.
2. Implementing Reports with Reporting Services
   1. Introduction to Reporting Services
   2. Creating a Report with Report Designer
   3. Grouping and Aggregating Data in a Report
   4. Showing Data Graphically
   5. Filtering Reports Using Parameters
   6. Lab: Implementing Reports with Reporting Services
      1. Creating a Report
      2. Grouping and Aggregating Data in a Report
      3. Adding a Chart to a Report
      4. Implementing Parameters in a Report
      5. Publishing and Viewing a Report
      6. Optional Exercise: Creating Visual Comparisons in a Report
      7. Optional Exercise:Creating a Map Report
   7. Create reports with Reporting Services.
3. Supporting Self-Service Reporting
   1. Introduction to Report Builder
   2. Creating Reusable Report Items
   3. Lab: Supporting Self-Service Reporting
      1. Using Report Builder
      2. Creating a shared data source
      3. Creating shared data sets
      4. Creating a Report Part
   4. Create reusable report items that simplify self-service reporting.
4. Managing a Reporting Infrastructure
   1. Managing Security
   2. Managing Report Execution
   3. Delivering Reports with Subscriptions
   4. Troubleshooting Reporting Services
   5. Lab: Implementing Report Subscriptions
      1. Configuring Report Execution
      2. Implementing a Standard Subscription
      3. Implementing a Data-Driven Subscription
   6. Manage a reporting infrastructure.
5. Creating Multidimensional Databases
   1. Introduction to Multidimensional Analysis
   2. Creating Data Sources and Data Source Views
   3. Creating a Cube
   4. Overview of Cube Security
   5. Lab: Creating a Multidimensional Database
      1. Creating a Data Source
      2. Creating and Modifying a Data Source View
      3. Creating and Modifying a Cube
   6. Create a multidimensional database with Analysis Services.
6. Working with Cubes and Dimensions
   1. Configuring Dimensions
   2. Defining Attribute Hierarchies
   3. Sorting and Grouping Attributes
   4. Lab: Working with Cubes and Dimensions
      1. Configuring Dimensions
      2. Defining Relationships and Hierarchies
      3. Sorting and Grouping Dimension Attributes
   5. Implement dimensions in a cube.
7. Working with Measures and Measure Groups
   1. Working With Measures
   2. Working with Measure Groups
   3. Lab: Configuring Measures and Measure Groups
      1. Configuring Measures
      2. Defining Dimension Usage and Relationships
      3. Configuring Measure Group Storage
   4. Implement measures and measure groups in a cube.
8. Introduction to MDX
   1. MDX Fundamentals
   2. Adding Calculations to a Cube
   3. Using MDX To Query a Cube
   4. Lab: Using MDX
      1. Querying a Cube by Using MDX
      2. Creating a Calculated Member
   5. Use MDX Syntax.
9. Customizing Cube Functionality
   1. Implementing Key Performance Indicators
   2. Implementing Actions
   3. Implementing Perspectives
   4. Implementing Translations
   5. Lab: Customizing a Cube
      1. Implementing a KPI
      2. Implementing an Action
      3. Implementing a Perspective
      4. Implementing a Translation
   6. Customize a cube.
10. Implementing a Tabular Data Model by Using Microsoft PowerPivot
    1. Introduction to Tabular Data Models and PowerPivot Technologies
    2. Creating a Tabular Data Model by Using PowerPivot for Excel
    3. Sharing a PowerPivot Workbook and Using PowerPivot Gallery
    4. Lab: Using PowerPivot for Excel
       1. Creating a Tabular Data Model by Using PowerPivot for Excel
       2. Using a Tabular Data Model in Excel
       3. Sharing a PowerPivot Workbook to PowerPivot Gallery
       4. Using a PowerPivot Workbook as a Data Source
    5. Implement a Tabular Data Model in PowerPivot.
11. Introduction to Data Analysis Expression (DAX)
    1. DAX Fundamentals
    2. Using DAX to Create Calculated Columns and Measures in a Tabular Data Model
    3. Lab: Creating Calculated Columns and Measures by Using DAX
       1. Creating Calculated Columns
       2. Creating Measures
       3. Using Time Intelligence
       4. Creating a Dynamic Measure
    4. Use DAX to create measures and calculated columns in a tabular data model.
12. Implementing an Analysis Services Tabular Data Model
    1. Introduction to Analysis Services Tabular Data Model Projects
    2. Implementing an Analysis Services Tabular Data Model in Business Intelligence Development Studio
    3. Lab: Working with an Analysis Services Tabular Data Model
       1. Creating an Analysis Services Tabular Data Model Project from a PowerPivot Workbook
       2. Implementing a Perspective
       3. Implementing Partitions
       4. Deploying an Analysis Services Tabular Data Model
       5. Enabling Access to a Tabular Data Model
       6. Configuring DirectQuery Storage Mode
       7. Implementing Security in a Tabular Data Model
    4. Implement a Tabular database.
13. Creating Data Visualizations With Power View
    1. Introduction to Power View
    2. Visualizing Data with Power View
    3. Lab: Creating Interactive Reports with Power View
       1. Modify the Tabular Data Model
       2. Create a Simple Power View Report
       3. Interactive Visualizations
       4. Create a Scatter Chart and a Play Axis
    4. Use Power View to create interactive data visualizations.
14. Performing Predictive Analysis with Data Mining
    1. Overview of Data Mining
    2. Using the Data Mining Add-In for Excel
    3. Creating a Custom Data Mining Solution
    4. Validating a Data Mining Model
    5. Connecting to a and Consuming a Data-Mining Model
    6. Lab: Performing Predictive Analysis with Data Mining
       1. Using the Excel Data Mining Add-In
       2. Creating a Data Mining Structure and Model
       3. Exploring Data Mining Models
       4. Validating Data Mining Models
       5. Consuming a Data Mining Model
    7. Use Data Mining for Predictive Analysis.

Class Materials

Each student in our Live Online and our Onsite classes receives a comprehensive set of materials, including course notes and all the class examples.

Class Prerequisites

Experience in the following areas is required:

• Writing Queries with Microsoft SQL Server Transact-SQL.

Courses that can help you meet these prerequisites:

• MOC 10774 - Querying Microsoft SQL Server 2012

Technical Requirements

Our computer technical requirements and setup process is easy, with support just a click away.

• Instructor-led Online course technical requirements and setup instructions.
• WebEx system requirements for Instructor-led Online delivery option.
• Onsite course technical requirements and setup instructions.