Implementing Data Models and Reports with Microsoft SQL Server (20466)

Quantity

$2,895.00

Add to Cart

New Age Technologies has been delivering Authorized Training since 1996. We offer Microsoft’s full suite of authorized courses including courses pertaining to Implementing Data Models and Reports with Microsoft SQL Server, Microsoft Office, SharePoint 2013 Business Intelligence, Developing Windows Azure and Web Services, Microsoft Exchange and more. If you have any questions or can’t seem to find the Microsoft class that you are interested in, contact one of our Microsoft Training Specialists. Invest in your future today with Microsoft training from New Age Technologies.

✉ Microsoft Training Specialist | ☏ 502.909.0819

---

EXCLUSIVE BENEFIT:

Your course includes a twelve-month subscription to these exclusive benefits:

• 12 months of anytime access to your course labs and lab environment
• 12 months of 24/7 access to mentoring via chat, email, and phone
• 12 months of on-demand access to indexed, searchable recordings of your Online Live class
• 12 months of unlimited retakes of your class

---

COURSE INFORMATION

Implementing Data Models and Reports with Microsoft SQL Server (20466) Overview:

Implementing Data Models and Reports with Microsoft SQL Server (20466) course focuses 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.

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

Implementing Data Models and Reports with Microsoft SQL Server (20466) Prerequisites:

Before attending this course, you must have:

• 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.

Implementing Data Models and Reports with Microsoft SQL Server (20466) Objectives:

After successfully completing this course, you 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.

Implementing Data Models and Reports with Microsoft SQL Server (20466) Outline:

Module 1: Introduction to Business Intelligence and Data Modeling

• Elements of an Enterprise BI Solution
• The Microsoft Enterprise BI Platform
• Planning an Enterprise BI Project
• Module 1 Labs:
• Explore BI Solutions

Module 2: Creating Multidimensional Databases

• Introduction to Multidimensional Analysis
• Creating Data Sources and Data Source Views
• Creating a Cube
• Overview of Cube Security
• Module 2 Labs: Create a Multidimensional Database
• Create a Data Source
• Create and Modify a Data Source View and Cube
• Add a Dimension

Module 3: Working with Cubes and Dimensions

• Configuring Dimensions
• Defining Attribute Hierarchies
• Sorting and Grouping Hierarchies
• Module 3 Labs: Define Dimensions
• Configure Dimensions and Attributes
• Create Hierarchies
• Create a Hierarchy with Attribute Relationships and a Ragged Hierarchy
• Browse Dimensions and Hierarchies in a Cube

Module 4: Working with Measures and Measure Groups

• Working with Measures
• Working with Measure Groups
• Module 4 Labs: Configure Measures and Measure Groups
• Configure Measures and Measure Group Storage
• Regular Relationship

Module 5: Introduction to MDX

• MDX Fundamentals
• Adding Calculations to a Cube
• Using MDX to Query a Cube
• Module 5 Labs: Use MDX
• Create Calculated Members
• Query a Cube using MDX

Module 6: Enhancing a Cube

• Working with Key Performance Indicators
• Working with Actions
• Working with Perspectives
• Working with Translations
• Module 6 Labs: Customize a Cube
• Implement an Action, Perspectives and a Translation

Module 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
• Module 7 Labs: Implement an Analysis Services Tabular Data Model
• Configure Columns and Relationships
• Deploy an Analysis Services Tabular Data Model

Module 8: Introduction to DAX

• DAX Fundamentals
• Enhancing a Tabular Data Model with DAX
• Module 8 Labs: Enhance a Tabular Data Model using DAX
• Create Calculated Columns, Measures, and KPI
• Implement a Parent-Child Hierarchy

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
• Publishing and Viewing a Report
• Module 9 Labs: Create a Report with Report Designer

Module 10: Enhancing Reports with SQL Server Reporting Services

• Showing Data Graphically
• Filtering Reports by Using Parameters
• Module 10 Labs: Enhance a Report
• Add a Chart and Parameters to a Report
• Use Data Bars, Sparklines, and a Map

Module 11: Managing Report Execution and Delivery

• Managing Report Security
• Managing Report Execution
• Subscriptions and Data Alerts
• Troubleshooting Reporting Services
• Module 11 Labs: Configure Report Execution and Delivery
• Implement a Standard and a Data-Driven Subscription

Module 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
• Module 12 Labs: Implement a SharePoint Server BI Solution
• Create a SharePoint Server Site for BI
• Configure PerformancePoint Data Access
• Create PerformancePoint Reports, Scorecards and Dashboards

Module 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
• Module 13 Labs: Use Data Mining to Support a Marketing Campaign
• Table Analysis Tools
• Create a Data Mining Structure
• Add a Data Mining Model to a Data Mining Structure
• Validate a Data Mining Model and Use in a Report

---

Boost your salary by obtaining your Microsoft Certification: Microsoft Certified Systems Engineer (MCSE): Business Intelligence