Seminar Details

Implementing Data Models and Reports with Microsoft® SQL Server® (MOC20466)

ETC
MOC20466
Hersteller-ID: 20466
Prüfungs ID: 70-466
Dauer: 5 Tage
Preis: € 2.465.- exkl.MwST
Wissensgarantie: 12 Monate

Info: Dieses Seminar behandelt prüfungsrelevante Themen zum Microsoft Examen: 70-466 Implementing Data Models and Reports with Microsoft SQL Server
This five-day instructor-led course teaches students how to design and implement a BI infrastructure for enterprise data models and reports. The course discusses design, installation, and operations of a BI platform, including Microsoft SQL Server Analysis Services, SQL Server Reporting Services, and Microsoft SharePoint Server.
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Zielgruppe

This course is intended for database professionals who need to fulfill a Business Intelligence Developer role to create analysis and reporting solutions. Primary responsibilities include: Implementing analytical data models, such as OLAP cubes. Implementing reports, and managing report delivery. Creating business performance dashboards. Supporting data mining and predictive analysis.

Vorkenntnisse

This course requires that you meet the following prerequisites:
  • At least 2 years’ experience of working with relational databases, including:
  • Designing a normalized database.
  • Creating tables and relationships.
  • Querying with Transact-SQL.
  • Some basic knowledge of data warehouse schema topology (including star and snowflake schemas).
  • An awareness of key business priorities such as revenue, profitability, and financial accounting is desirable.

Schwerpunkte

  1. Introduction to Business Intelligence and Data Modeling
    1. Elements of an Enterprise BI Solution
    2. The Microsoft Enterprise BI Platform
    3. Planning an Enterprise BI Project
      1. Exploring a BI Solution
  2. 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
      1. Creating a Multidimensional Database
  3. Working with Cubes and Dimensions
    1. Configuring Dimensions
    2. Defining Attribute Hierarchies
    3. Sorting and Grouping Hierarchies
      1. Defining Dimensions
  4. Working with Measures and Measure Groups
    1. Working with Measures
    2. Working with Measure Groups
      1. Configuring Measures and Measure Groups
  5. Introduction to MDX
    1. MDX Fundamentals
    2. Adding Calculations to a Cube
    3. Using MDX to Query a Cube
      1. Using MDX
  6. Enhancing a Cube
    1. Working with Key Performance Indicators
    2. Working with Actions
    3. Working with Perspectives
    4. Working with Translations
      1. Customizing a Cube
  7. Implementing an Analysis Services Tabular Data Model
    1. Introduction to Analysis Services Tabular Data Models
    2. Creating a Tabular Data Model
    3. Using an Analysis Services Tabular Data Model in the Enterprise
      1. Implementing an Analysis Services Tabular Data Model
  8. Introduction to DAX
    1. DAX Fundamentals
    2. Enhancing a Tabular Data Model with DAX
      1. Using DAX to Enhance a Tabular Data Model
  9. Implementing Reports with SQL Server Reporting Services
    1. Introduction to Reporting Services
    2. Creating a Report with Report Designer
    3. Grouping and Aggregating Data in a Report
    4. Publishing and Viewing a Report
      1. Creating a Report with Report Designer
  10. Enhancing Reports with SQL Server Reporting Services
    1. Showing Data Graphically
    2. Filtering Reports by Using Parameters
      1. Enhancing a Report
  11. Managing Report Execution and Delivery
    1. Managing Report Security
    2. Managing Report Execution
    3. Subscriptions and Data Alerts
    4. Troubleshooting Reporting Services
      1. Configuring Report Execution and Delivery
  12. Delivering BI with SharePoint PerformancePoint Services
    1. Introduction to SharePoint Server as a BI Platform
    2. Introduction to PerformancePoint Services
    3. PerformancePoint Data Sources and Time Intelligence
    4. Reports, Scorecards, and Dashboards
      1. Implementing a SharePoint Server BI Solution
  13. Performing Predictive Analysis with Data Mining
    1. Overview of Data Mining
    2. Creating a Data Mining Solution
    3. Validating a Data Mining Model
    4. Consuming Data Mining Data
      1. Using Data Mining to Support a Marketing Campaign
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