MOC20466 - Implementing Data Models and Reports with Microsoft SQL Server

Linea corsi: SQL Server, Associate level: MCSA SQL Server 2012/2014

About this course
The focus ofthis five-day instructor-led course is on creating managed enterprise BIsolutions. It describes how to implement multidimensional and tabular datamodels, deliver reports with Microsoft® SQL Server® Reporting Services, createdashboards with Microsoft SharePoint Server PerformancePoint Services, anddiscover business insights by using data mining.
: This course is designed for customers who areinterested in learning SQL Server 2012 or SQL Server 2014. It covers the newfeatures in SQL Server 2014, but also the important capabilities across the SQLServer data platform.

Audience profile
This courseis intended for database professionals who need to fulfill a BusinessIntelligence Developer role to create analysis and reporting solutions. Primaryresponsibilities include:
  • Implementinganalytical data models, such as OLAP cubes.
  • Implementingreports, and managing report delivery.
  • Creatingbusiness performance dashboards.
Supporting data mining and predictive analysis.

At course completion
Aftercompleting this course, students will be able to:
  • Describethe components, architecture, and nature of a BI solution.
  • Createa multidimensional database with Analysis Services.
  • Implementdimensions in a cube.
  • Implementmeasures and measure groups in a cube.
  • UseMDX Syntax.
  • Customizea cube.
  • Implementa Tabular Data Model in SQL Server Analysis Services.
  • UseDAX to enhance a tabular model.
  • Createreports with Reporting Services.
  • Enhancereports with charts and parameters.
  • Managereport execution and delivery.
  • Implementa dashboard in SharePoint Server with PerformancePoint Services.
  • Use Data Mining for Predictive Analysis.Course Outline
Module 1: Introduction to Business Intelligence and Data Modeling
As a SQL Server database professional, you may be required to participate in, or perhaps even lead, a project with the aim of implementing an effective enterprise BI solution. Therefore, it is important that you have a good understanding of the various elements that comprise a BI solution, the business and IT personnel typically involved in a BI project, and the Microsoft products that you can use to implement the solution.
  • Introduction to Business Intelligence
  • The Microsoft Enterprise BI Platform
Lab : Exploring a BI Solution
Aftercompleting this module, you will be able to:
  • Describe the elements of a typical BI solution.
  • Select appropriate Microsoft technologies for a BI solution.
  • Describekey considerations for planning a BI project.
Module 2: Creating Multidimensional Databases
This module provides an introduction to multidimensional databases and introduces the core components of an Online Analytical Processing (OLAP) cube.
  • Introduction to Multidimensional Analysis
  • Creating Data Sources and Data Source Views
  • Creating a Cube
  • Overview of Cube Security
Lab : Creating a Multidimensional Database
After completing this module, you will beable to:
  • Describe the considerations for a multidimensional database.
  • Create data sources and data source views.
  • Create a cube.
  • Implementsecurity in a multidimensional database.
Module 3: Working with Cubes and Dimensions
This module describes how to create and configure dimensions and dimension hierarchies in an Analysis Services multidimensional data model.
  • Configuring Dimensions
  • Defining Attribute Hierarchies
  • Sorting and Grouping Hierarchies
Lab : Working with Cubes and Dimensions
Aftercompleting this module, you will be able to:
  • Configuredimensions.
  • Define attributehierarchies.
  • Sort and group attributes.
Module 4: Working with Measures and Measure Groups
This module describes measures and measure groups. It also explains how you can use them to define fact tables and associate dimensions with measures.
  • Working with Measures
  • Working with Measure Groups
Lab : Configuring Measures and Measure Groups
After completing thismodule, you will be able to:
  • Configure measures.
  • Configure measure groups.
Module 5: Introduction to MDX
This module describes the fundamentals of MDX and explains how to build calculations, such as calculated members and named sets.
  • MDX Fundamentals
  • Adding Calculations to a Cube
  • Using MDX to Query a Cube
Lab : Using MDX
After completing this module, you will beable to:
  • Describe MDX.
  • Add calculationsto a cube.
  • Describe how to use MDX in client applications.
Module 6: Customizing Cube Functionality
This module describes how to enhance a cube with Key Performance Indicators (KPIs), actions, perspectives, and translations.
  • Implementing Key Performance Indicators
  • Implementing Actions
  • Implementing Perspectives
  • Implementing Translations
Lab : Customizing a Cube
After completing this module, you will beable to:
  • Implement KeyPerformance Indicators.
  • Implement Actions.
  • ImplementPerspectives.
  • Implement Translations.
Module 7: Implementing an Analysis Services Tabular Data Model
This module describes Analysis Services tabular data models and explains how to develop a tabular data model using the SQL Server Data Tools for Business Intelligence (BI) add-in for Visual Studio.
  • Introduction to Tabular Data Models
  • Creating a Tabular Data Model
  • Using an Analysis Services Tabular Data Model in an Enterprise BI Solution
Lab : Implementing an Analysis Services Tabular Data Model
After completing this module, you will beable to:
  • Describe AnalysisServices tabular data model projects.
  • Implement anAnalysis Services tabular data model.
  • Use an Analysis Services tabular data model.
Module 8: 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 them in your tabular data models.
  • DAX Fundamentals
  • Using DAX to Create calculated Columns and Measures in a Tabular Data Model
Lab : Creating Calculated Columns and Measures by using DAX
After completing this module, you will beable to:
  • Describe thefundamentals of DAX.
  • Use DAX to create calculated columns andmeasures.
Module 9: Implementing Reports with SQL Server Reporting Services
This module introduces Microsoft SQL Server Reporting Services and discusses the tools and techniques that a professional BI developer can use to create and publish reports.
  • Introduction to Reporting Services
  • Creating a Report with Report Designer
  • Grouping and Aggregating Data in a Report
  • Showing Data Graphically
  • Filtering Reports Using Parameters
Lab : Creating a Report with Report Designer
After completing thismodule, you will be able to:
  • Describe the keyfeatures of Reporting Services.
  • Use ReportDesigner to create a report.
  • Group andaggregate data in a report.
  • Publish and view a report.
Module 10: Automating Report Execution and Delivery
This module describes how to apply security and report execution settings, and how to create subscriptions to deliver reports.
  • Managing Report Security
  • Managing Report Execution
  • Delivering Reports with Subscriptions and Data Alerts
  • Troubleshooting Reporting Services
Lab : Implementing Report Subscriptions
After completing this module, you will beable to:
  • Configure securitysettings for a report server.
  • Configure reportexecution settings to optimize performance.
  • Use subscriptionsand alerts to automate report and data delivery.
  • Troubleshoot reporting issues.
Module 11: Delivering BI with SharePoint PerformancePoint Services
This module introduces Microsoft SharePoint Server as a platform for BI, and then focuses on building BI dashboards and scorecards with PerformancePoint Services.
  • Introduction to SharePoint Server as a BI Platform
  • Planning Security for a SharePoint Server BI Solution
  • Planning for PerformancePoint Services
Lab : Implementing PerformancePoint Services
After completing this module, you will beable to:
  • DescribeSharePoint Server as a BI platform.
  • UsePerformancePoint Services to deliver BI functionality.
  • ConfigurePerformancePoint Data Sources.
  • Create Reports, Scorecards, and Dashboards.
Module 12: Performing Predictive Analysis with Data Mining
This module introduces data mining, describes how to create a data mining solution, how to validate data mining models, how to use the Data Mining Add-ins for Microsoft Excel, and how to incorporate data mining results into Reporting Services reports.
  • 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 and Consuming Data Mining Data
Lab : Using Data Mining to Support a Marketing Campaign
After completing thismodule, you will be able to:
  • Describe the keydata mining concepts and use the Data Mining Add-ins for Excel.
  • Create a datamining solution.
  • Validate datamining models.
  • Use data mining data in a report.

Prezzo di listino

1.600,00 EUR + IVA

Esame di certificazione

Exam 466


  • 35 ore
  • 5 giorni


Thiscourse requires that you meet the following prerequisites:
  • At least 2 years’experience of working with relational databases, including:
  • Designing anormalized database.
  • Creating tablesand relationships.
  • Querying withTransact-SQL.
  • Some basicknowledge of data warehouse schema topology (including star and snowflakeschemas).
  • Some exposure tobasic programming constructs (such as looping and branching).
  • An awareness of key business priorities such asrevenue, profitability, and financial accounting is desirable.

Date a calendario

Anche on-site

Tutti i nostri corsi sono erogabili anche in modalità on-site, personalizzati secondo le esigenze.

Richiesta informazioni