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Implementing Data Models and Reports with SQL Server 2014

Course content updated by LearnQuest
Price
2,975 USD
5 Days
MOC-20466
Classroom Training, Online Training
Microsoft
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Course Description

Overview

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.
 

Objectives

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.

 

Audience

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.

 

Prerequisites

    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).

      • 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.

     

Topics

Course OutlineModule 1: Introduction to Business Intelligence and Data ModelingAs 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.Lessons
  • Introduction to Business Intelligence
  • The Microsoft Enterprise BI Platform
Lab : Exploring a BI Solution

After completing this module, you will be able to:

  • Describe the elements of a typical BI solution.
  • Select appropriate Microsoft technologies for a BI solution.

  • Describe key considerations for planning a BI project.
Module 2: Creating Multidimensional DatabasesThis module provides an introduction to multidimensional databases and introduces the core components of an Online Analytical Processing (OLAP) cube.Lessons
  • 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 be able to:

  • Describe the considerations for a multidimensional database.
  • Create data sources and data source views.

  • Create a cube.

  • Implement security in a multidimensional database.
Module 3: Working with Cubes and DimensionsThis module describes how to create and configure dimensions and dimension hierarchies in an Analysis Services multidimensional data model.Lessons
  • Configuring Dimensions
  • Defining Attribute Hierarchies
  • Sorting and Grouping Hierarchies
Lab : Working with Cubes and Dimensions

After completing this module, you will be able to:

  • Configure dimensions.
  • Define attribute hierarchies.

  • Sort and group attributes.
Module 4: Working with Measures and Measure GroupsThis module describes measures and measure groups. It also explains how you can use them to define fact tables and associate dimensions with measures.Lessons
  • Working with Measures
  • Working with Measure Groups
Lab : Configuring Measures and Measure Groups

After completing this module, you will be able to:

  • Configure measures.
  • Configure measure groups.
Module 5: Introduction to MDXThis module describes the fundamentals of MDX and explains how to build calculations, such as calculated members and named sets.Lessons
  • MDX Fundamentals
  • Adding Calculations to a Cube
  • Using MDX to Query a Cube
Lab : Using MDX

After completing this module, you will be able to:

  • Describe MDX.
  • Add calculations to a cube.

  • Describe how to use MDX in client applications.
Module 6: Customizing Cube FunctionalityThis module describes how to enhance a cube with Key Performance Indicators (KPIs), actions, perspectives, and translations.Lessons
  • Implementing Key Performance Indicators
  • Implementing Actions
  • Implementing Perspectives
  • Implementing Translations
Lab : Customizing a Cube

After completing this module, you will be able to:

  • Implement Key Performance Indicators.
  • Implement Actions.

  • Implement Perspectives.

  • Implement Translations.
Module 7: Implementing an Analysis Services Tabular Data ModelThis 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.Lessons
  • 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 be able to:

  • Describe Analysis Services tabular data model projects.
  • Implement an Analysis 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.Lessons
  • 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 be able to:

  • Describe the fundamentals of DAX.
  • Use DAX to create calculated columns and measures.
Module 9: Implementing Reports with SQL Server Reporting ServicesThis 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.Lessons
  • 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 this module, you will be able to:

  • Describe the key features of Reporting Services.
  • Use Report Designer to create a report.

  • Group and aggregate data in a report.

  • Publish and view a report.
Module 10: Automating Report Execution and DeliveryThis module describes how to apply security and report execution settings, and how to create subscriptions to deliver reports.Lessons
  • 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 be able to:

  • Configure security settings for a report server.
  • Configure report execution settings to optimize performance.

  • Use subscriptions and alerts to automate report and data delivery.

  • Troubleshoot reporting issues.
Module 11: Delivering BI with SharePoint PerformancePoint ServicesThis module introduces Microsoft SharePoint Server as a platform for BI, and then focuses on building BI dashboards and scorecards with PerformancePoint Services.Lessons
  • 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 be able to:

  • Describe SharePoint Server as a BI platform.
  • Use PerformancePoint Services to deliver BI functionality.

  • Configure PerformancePoint Data Sources.

  • Create Reports, Scorecards, and Dashboards.
Module 12: Performing Predictive Analysis with Data MiningThis 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.Lessons
  • 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 this module, you will be able to:

  • Describe the key data mining concepts and use the Data Mining Add-ins for Excel.
  • Create a data mining solution.

  • Validate data mining models.

  • Use data mining data in a report.

 
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