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20466 Implementing Data Models and Reports with Microsoft SQL Server

Course Overview

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. IMPORTANT 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.

Who Should Attend

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.

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.

Suggested Prerequisites

Course Outline

1 - Introduction to Business Intelligence and Data Modeling

  • 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

2 - Creating Multidimensional Databases

  • 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

3 - Working with Cubes and Dimensions

  • 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
  • After completing this module, you will be able to:
  • Configure dimensions
  • Define attribute hierarchies
  • Sort and group attributes

4 - Working with Measures and Measure Groups

  • Working with Measures
  • Working with Measure Groups
  • Lab : Configuring Measures and Measure Groups
  • Configuring Measures
  • Defining a Regular Relationship
  • Configuring Measure Group Storage
  • After completing this module, you will be able to:
  • Configure measures
  • Configure measure groups

5 - Introduction to MDX

  • 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

6 - Enhancing a Cube

  • 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

7 - Implementing an Analysis Services Tabular Data Model

  • 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

8 - Introduction to DAX

  • 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

9 - Implementing Reports with SQL Server Reporting Services

  • 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

10 - Enhancing Reports with SQL Server Reporting Services

  • 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

11 - Managing Report Execution and Delivery

  • 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

12 - Delivering BI with SharePoint 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

13 - Performing Predictive Analysis with Data Mining

  • 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

Enroll Today

This is a 5-day class

Price: $2,975.00
Payment Options

ILT Instructor‑Led Training

OLL Online LIVE

GTR  Guaranteed to Run

Class times are listed Eastern time. This class is available for Private Group Training

To sort by location or date, click the ‘When’ and ‘Where’ column headings.

Cart When Time   Where How
02/11/2019 9:00AM - 5:00PM GTR Online LIVE OLL
04/15/2019 9:00AM - 5:00PM GTR Online LIVE OLL
06/03/2019 9:00AM - 5:00PM GTR Online LIVE OLL

Class times are listed Eastern time
This class is available for Private Group Training