Implementing Data Models and Reports with SQL Server 2014 (20466)
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.
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.
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.
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.
Module 1: Introduction to Business Intelligence and Data Modeling
Module 2: Creating Multidimensional Databases
Module 3: Working with Cubes and Dimensions
Module 4: Working with Measures and Measure Groups
Module 5: Introduction to MDX
Module 6: Customizing Cube Functionality
Module 7: Implementing an Analysis Services Tabular Data Model
Module 8: Introduction to Data Analysis Expression (DAX)
Module 9: Implementing Reports with SQL Server Reporting Services
Module 10: Automating Report Execution and Delivery
Module 11: Delivering BI with SharePoint PerformancePoint Services
Module 12: Performing Predictive Analysis with Data Mining
De momento não temos datas disponíveis para este curso, entre em contacto para obter mais informações.