Reporting 20466-Implementing Data Models and Reports with Microsoft SQL Server 2014

20466-Implementing Data Models and Reports with Microsoft SQL Server 2014


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2975.00 2,975.00

  • Course Delivery: Virtual Classroom
  • Language: English

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The focus of this five-day instructor-led course is on creating managed enterprise BI solutions. It describes how to implement multidimensional and tabular data models, deliver reports with Microsoft SQL Server Reporting Services, create dashboards with Microsoft SharePoint Server PerformancePoint Services, and discover business insights by using data mining.

Note: This course is designed for customers who are interested in learning SQL Server 2012 or SQL Server 2014. It covers the new features in SQL Server 2014, but also the important capabilities across the SQL Server data platform.

Course Objectives

After completing this course, students will be able to:
  • Describe the components, architecture, and nature of a BI solution.
  • 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 SQL Server Analysis Services.
  • Use DAX to enhance a tabular model.
  • Create reports with Reporting Services.
  • Enhance reports with charts and parameters.
  • Manage report execution and delivery.
  • Implement a dashboard in SharePoint Server with PerformancePoint Services.
  • Use Data Mining for Predictive Analysis.

Topics Covered

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.
  • Elements of an Enterprise BI Solution
  • The Microsoft Enterprise BI Platform
  • Planning an Enterprise BI Project
  • Lab : Exploring a BI Solution
  • Exploring the Data Warehouse
  • Exploring the Analysis Services Data Model
  • Exploring Reports

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
  • Creating a Data Source
  • Creating and Modifying a Data Source View
  • Creating and Modifying a Cube
  • Adding a Dimension

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 : Defining Dimensions
  • Configuring Dimensions and Attributes
  • Creating Hierarchies
  • Creating a Hierarchy with Attribute Relationships
  • Creating a Ragged Hierarchy
  • Browsing Dimensions and Hierarchies in a Cube

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
  • Configuring Measures
  • Defining a Regular Relationship
  • Configuring Measure Group Storage

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
  • Creating Calculated Members
  • Querying a Cube by Using MDX

Module 6: Enhancing a Cube
This module describes how to enhance a cube with Key Performance Indicators (KPIs), actions, perspectives, and translations.
  • Working with Key Performance Indicators
  • Working with Actions
  • Working with Perspectives
  • Working with Translations
  • Lab : Customizing a Cube
  • Implementing an Action
  • Implementing Perspectives
  • Implementing a Translation

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 Analysis Services Tabular Data Models
  • Creating a Tabular Data Model
  • Using an Analysis Services Tabular Data Model in the Enterprise
  • Lab : Implementing an Analysis Services Tabular Data Model
  • Creating an Analysis Services Tabular Data Model Project
  • Configuring Columns and Relationships
  • Deploying an Analysis Services Tabular Data Model

Module 8: Introduction to 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
  • Enhancing a Tabular Data Model with DAX
  • Lab : Using DAX to Enhance a Tabular Data Model
  • Creating Calculated Columns
  • Creating Measures
  • Creating a KPI
  • Implementing a Parent-Child Hierarchy

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
  • Publishing and Viewing a Report
  • Lab : Creating a Report with Report Designer
  • Creating a Report
  • Grouping and Aggregating Data
  • Publishing a Report

Module 10: Enhancing Reports with SQL Server Reporting Services
This module describes how to enhance a SQL Server reporting Services report with charts and other visualizations, and how to use parameters to filter data in a report.
  • Showing Data Graphically
  • Filtering Reports by Using Parameters
  • Lab : Enhancing a Report
  • Adding a Chart to a Report
  • Adding Parameters to a Report
  • Using Data Bars and Sparklines
  • Using a Map

Module 11: Managing 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
  • Subscriptions and Data Alerts
  • Troubleshooting Reporting Services
  • Lab : Configuring Report Execution and Delivery
  • Configuring Report Execution
  • Implementing a Standard Subscription
  • Implementing a Data-Driven Subscription

Module 12: 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
  • Introduction to PerformancePoint Services
  • PerformancePoint Data Sources and Time Intelligence
  • Reports, Scorecards, and Dashboards
  • Lab : Implementing a SharePoint Server BI Solution
  • Creating a SharePoint Server Site for BI
  • Configuring PerformancePoint Data Access
  • Creating PerformancePoint Reports
  • Creating a PerformancePoint Scorecard
  • Creating a PerformancePoint Dashboard

Module 13: 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
  • Creating a Data Mining Solution
  • Validating a Data Mining Model
  • Consuming Data Mining Data
  • Lab : Using Data Mining to Support a Marketing Campaign
  • Using Table Analysis Tools
  • Creating a Data Mining Structure
  • Adding a Data Mining Model to a Data Mining Structure
  • Validating a Data Mining Model
  • Using a Data Mining Model in a Report


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).
  • Some exposure to basic programming constructs (such as looping and branching).
  • An awareness of key business priorities such as revenue, profitability, and financial accounting is desirable

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