|03/05/2018 - 20466 - Implementing Data Models and Reports with Microsoft SQL Server 2014 - Live Virtual||Live Virtual||5 days|
|05/07/2018 - 20466 - Implementing Data Models and Reports with Microsoft SQL Server 2014 - Live Virtual||Live Virtual||5 days|
|07/09/2018 - 20466 - Implementing Data Models and Reports with Microsoft SQL Server 2014 - Live Virtual||Live Virtual||5 days|
Select DynamicsEdge MOC 20466 convenient class you can trust in order to get training you can trust. There are options for a custom class.
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:
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.
This module provides an introduction to multidimensional databases and introduces the core components of an Online Analytical Processing (OLAP) cube.
This module describes how to create and configure dimensions and dimension hierarchies in an Analysis Services multidimensional data model.
This module describes measures and measure groups. It also explains how you can use them to define fact tables and associate dimensions with measures.
This module describes the fundamentals of MDX and explains how to build calculations, such as calculated members and named sets.
This module describes how to enhance a cube with Key Performance Indicators (KPIs), actions, perspectives, and translations.
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.
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.
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.
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.
This module describes how to apply security and report execution settings, and how to create subscriptions to deliver reports.
This module introduces Microsoft SharePoint Server as a platform for BI, and then focuses on building BI dashboards and scorecards with PerformancePoint Services.
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.
Lab: Exploring a BI Solution
Lab: Creating a Multidimensional Database
Lab: Defining Dimensions
Lab: Configuring Measures and Measure Groups
Lab: Using MDX
Lab: Customizing a Cube
Lab: Implementing an Analysis Services Tabular Data Model
Lab: Using DAX to Enhance a Tabular Data Model
Lab: Creating a Report with Report Designer
Lab: Enhancing a Report
Lab: Configuring Report Execution and Delivery
Lab: Implementing a SharePoint Server BI Solution
Lab: Using Data Mining to Support a Marketing Campaign
After completing this course, students will be able to:
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Last updated: 2018-02-22
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