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    A database is a collection of data stored and maintained for one or more uses. Most modern databases are managed by a Database Management System (DBMS), a set of computer programs that controls the creation, maintenance, and the use of the database with computer as a platform or of an organization and its end users. It allows organizations to place control of organization-wide database development in the hands of database administrators (DBAs) and other specialists.

    The proper integration of databases can dramatically increase the functionality of all types of applications, whether or not Web-enabled.


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  • Course Details Database

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

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Course duration

  • 5 Days

Course Outline

This Microsoft SQL Server 2012 instructor-led training 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 people prepare for exam 70-466.

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

  • 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.
  • Writing Queries with Microsoft SQL Server Transact-SQL.
  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.

InterSource Geneva, a premier Information Technology training firm, offers over 400 different courses on server, database and programming technologies, as well as end-user classes for the most popular office, graphics and design applications. We serve clients in Switzerland (Geneva, Lausanne, Bern, Basel, Zurich) and throughout Europe (France, Germany, Austria, Finland, Sweden, England, Netherlands, Spain, etc.).


InterSource offers custom, private courses at client sites, standard public courses in our Geneva classroom, and online training via live Web conference. Training is offered in English and many other languages (Francais, Deutsch, Espanol, Italiano.)


For an overall view of our offerings, please visit us at www.intersource.ch.