Implementing Data Models and Reports with Microsoft SQL Server 2014 (M20466)
Implementing Data Models and Reports with Microsoft SQL Server 2014 (M20466) Course Details:
In this course, you will learn the tools needed to create managed enterprise business intelligence (BI) solutions. You will learn about data modeling by creating multidimensional databases, cubes and dimensions, measures and measure groups, MDX fundamentals, analysis services, and Data Analysis Expressions (DAX). You will then learn how to create and publish reports using reporting services, report execution and delivery, SharePoint PerformancePoint Services, and data mining.
This course is designed for those interested in learning SQL Server 2012 or 2014 and covers the new features in SQL Server 2014 as well as the important capabilities across the SQL Server data platform.
This course incorporates material from the Official Microsoft Learning Product 20466: Implementing Data Models and Reports with Microsoft SQL Server. It covers the skills and knowledge measured by Exam 70-466 and along with on-the-job experience, helps you prepare for the exam.
Call (919) 283-1674 to get a class scheduled online or in your area!
1. Introduction to Business Intelligence and Data Modeling
• Elements of an Enterprise BI Solution
• The Microsoft Enterprise BI Platform
2. Create Multidimensional Databases
• Multidimensional Analysis
• Create Data Sources and Data Source Views
• Create a Cube
• Cube Security
3. Work with Cubes and Dimensions
• Configure Dimensions
• Attribute Hierarchies
• Sorting and Grouping Hierarchies
4. Work with Measures and Measure Groups
• Define Fact Tables
• Associate Dimensions with Measures
5. Multidimensional Expressions (MDX)
• MDX Fundamentals
• Add Calculations to a Cube
• Using MDX to Query a Cube
6. Customize Cube Functionality
• Implement Key Performance Indicators (KPIs)
• Implement Actions, Perspectives, and Translations
7. Implement an Analysis Services Tabular Data Model
• Analysis Services Tabular Data Models
• Create a Tabular Data Model
• Analysis Services Tabular Data Models in an Enterprise BI Solution
8. Data Analysis Expression (DAX)
• DAX Fundamentals
• Enhance a Tabular Data Model with DAX
9. Implement Reports with SQL Server Reporting Services
• Reporting Services
• Create a Report with Report Designer
• Grouping and Aggregating Data in a Report
• Show Data Graphically
• Filter Reports using Parameters
10. Automate Report Execution and Delivery
• Manage Report Security
• Manage Report Execution
• Subscriptions and Data Alert
• Troubleshoot Reporting Services
11. Deliver BI with SharePoint PerformancePoint Services
• SharePoint Server as a BI Platform and PerformancePoint Services
• PerformancePoint Data Sources and Time Intelligence
• Reports, Scorecards, and Dashboards
12. Perform Predictive Analysis with Data Mining
• Data Mining
• Data Mining Add-ins for Microsoft Excel
• Create a Data Mining Solution
• Validate a Data Model
• Consume Data Mining Data
*Please Note: Course Outline is subject to change without notice. Exact course outline will be provided at time of registration.
- Components, architecture and nature of a BI solution
- Implement dimensions in a cube
- Implement measures and measure groups in a cube
- Multidimensional Expressions (MDX) syntax
- Cube customization
- Implement tabular data model in SQL Server Analysis Services
- Enhance a tabular model using DAX
- Reporting services
- Report enhancement using charts and parameters
- Report execution and delivery management
- Implement a dashboard in SharePoint Server with PerformancePoint Services
- Predictive analysis using data mining
Lab 1: Explore BI Solutions
Lab 2: Create a Multidimensional Database
Lab 3: Work with Cubes and Dimensions
Lab 4: Configure Measures and Measure Groups
Lab 5: Use MDX
Lab 6: Customize a Cube
Lab 7: Implement an Analysis Services Tabular Data Model
Lab 8: Create Calculated Columns and Measures by Using DAX
Lab 9: Create a Report with Report Designer
Lab 10: Implement Report Subscriptions
Lab 11: Implement PerformancePoint Services
Lab 12: Use Data Mining to Support a Marketing Campaign
- Minimum two years experience with relational databases
- Knowledge and skills that include:
- Normalized database design
- Creating tables and relationships
- Querying with Transact-SQL
- Data warehouse schema topology, including Star and Snowflake schemas
- Basic programming constructs: looping and branching
- Key business priorities for revenue, profitability, and financial accounting
- Database professionals who fulfill a BI developer role
- Database professionals who create analysis and reporting solutions whose responsibilities include:
- Implementing analytical data models, such as OLAP cubes
- Implementing reports and managing report delivery
- Creating business performance dashboards
- Support data mining and predictive analysis