Implementing Data Models and Reports with Microsoft SQL Server 2014

Schedule

Start	End	Duration	Location	Details

Course Details

Implementing Data Models and Reports with Microsoft SQL Server 2014

Course Code: 20466

Duration: 5 days

Prerequisite:

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 Description:

The focus of this five-day 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.

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.

Intended 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.

Course Outline:

Module 1: Introduction to Business Intelligence and Data

Introduction to Business Intelligence
The Microsoft Enterprise BI Platform

Module 2: Creating Multidimensional Databases

Introduction to Multidimensional Analysis
Creating Data Sources and Data Source Views
Creating a Cube
Overview of Cube Security

Module 3: Working with Cubes and Dimensions

Configuring Dimensions
Defining Attribute Hierarchies
Sorting and Grouping Hierarchies

Module 4: Working with Measures and Measure Groups

Working with Measures
Working with Measure Groups

Module 5: Introduction to MDX

MDX Fundamentals
Adding Calculations to a Cube
Using MDX to Query a Cube

Module 6: Customizing Cube Functionality

Implementing Key Performance Indicators
Implementing Actions
Implementing Perspectives
Implementing Translations

Module 7: Implementing an Analysis Services Tabular Data

Introduction to Tabular Data Models
Creating a Tabular Data Model
Using an Analysis Services Tabular Data Model in an Enterprise BI Solution

Module 8: Introduction to Data Analysis Expression (DAX)

DAX Fundamentals
Using DAX to Create calculated Columns and Measures in a Tabular Data Model

Module 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
Showing Data Graphically
Filtering Reports Using Parameters

Module 10: Automating Report Execution and Delivery

Managing Report Security
Managing Report Execution
Delivering Reports with Subscriptions and Data Alerts
Troubleshooting Reporting Services

Module 11: Delivering BI with SharePoint PerformancePoint Services

Introduction to SharePoint Server as a BI Platform
Planning Security for a SharePoint Server BI Solution
Planning for PerformancePoint Services

Module 12: Performing Predictive Analysis with Data Mining

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