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Implementing Data Models and Reports with SQL Server 2014

Discover ITT

Monday, November 28, 2016 at 8:30 AM - Friday, December 2, 2016 at 4:00 PM (CST)

Implementing Data Models and Reports with SQL Server...
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Ticket Information

Ticket Type Sales End Price Fee Quantity
MS20466 Nov 25, 2016 $2,795.00 $0.00

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Event Details

Course MS20466C

Length: 5 Days

 

About this Course

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 Profile

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.

 

At Course Completion

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.

 

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.

 

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.

Lessons

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

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 Databases

This 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

Creating a Data Source

Creating and Modifying a Data Source View

Creating and Modifying a Cube

Adding a Dimension

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 Dimensions

This 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 : 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

 

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.

Lessons

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

 

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.

Lessons

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

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: Enhancing a Cube

This module describes how to enhance a cube with Key Performance Indicators (KPIs), actions, perspectives, and translations.

Lessons

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

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 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.

Lessons

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

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 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

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

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 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.

Lessons

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

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: 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.

Lessons

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

After completing this module, you will be able to:

Use charts and other visualizations to show data graphically in a report

Use parameters to filter data in a report

 

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.

Lessons

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

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 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.

Lessons

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

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 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.

Lessons

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

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

Have questions about Implementing Data Models and Reports with SQL Server 2014? Contact Discover ITT

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When & Where


Discover ITT Riverchase Training Center
3 Riverchase Office Plaza
#114
Hoover, AL 35244

Monday, November 28, 2016 at 8:30 AM - Friday, December 2, 2016 at 4:00 PM (CST)


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