M10778 - Implementing Data Models and Reports with Microsoft SQL Server 2012 — A 5 day course

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Retired Course; no longer available

Synopsis

This course has been retired. Please review the M20466 Implementing Data Models and Reports with Microsoft SQL Server course instead.

The Microsoft M10778 5-day instructor-led course describes how to empower information workers through self-service analytics and reporting. Students will learn how to implement PowerPivot and tabular data models, create and deliver rich data visualizations with Power View and SQL Server Reporting Services, and discover business insights by using data mining. This course helps people prepare for exam 70-466.

Objectives

On completion of the Microsoft 10778 training course, delegates should be able to:

Suitable For

The primary audience for this course are database professionals who need to fulfill BI Developer role to create analysis and reporting solutions. Primary responsibilities will include:

Prerequisites

In addition to their professional experience, students who attend this training should have technical knowledge equivalent to the following course:

M10774: Writing Queries with Microsoft SQL Server Transact-SQL

Schedule

This course has been retired and is no longer available.


Contents

Introduction to Business Intelligence and Data Modeling

This module provides an introduction to Business Intelligence (BI). It describes common BI scenarios, current trends in BI, and the typical roles involved in creating a BI solution. It also introduces the Microsoft BI platform, and describes the roles that SQL Server Denali and SharePoint 2010 play in Microsoft BI solutions.

Implementing Reports with Reporting Services

This module describes how to create reports with Reporting Services.

Supporting Self-Service Reporting

This module describes how to create reusable report items that simplify self-service reporting.

Managing a Reporting Infrastructure

Describes how to manage a reporting infrastructure.

Creating Multidimensional Databases

This module provides an introduction to multidimensional databases and introduces the core components of an OLAP cube.

Working with Cubes and Dimensions

This module describes how to create multidimensional databases and introduces the core components of an OLAP cube.

Working with Measures and Measure Groups

This module describes how to implement measures and measure groups in a cube.

Introduction to MDX

In this module, students will learn the fundamentals of Multidimensional Expressions. Students will also learn about building calculations, such as calculated members and named sets.

Customizing Cube Functionality

In this module describes how to customize cube functionality by using several technologies available to you in Microsoft SQL Server Denali Analysis Services.

Implementing a Tabular Data Model by Using Microsoft PowerPivot

This module explains how to install and use the PowerPivot for Excel add-in and the PowerPivot for SharePoint gallery. It also provides an introduction to the concepts underlying these technologies, such as the BI Semantic Model and Tabular Data Models.

Introduction to Data Analysis Expression (DAX)

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 these in your Tabular Data Models.

Implementing an Analysis Services Tabular Data Model

This module describes Analysis Services Tabular Data Models and explains how to develop a Tabular Data Model by using the Business Intelligence Development Studio.

Creating Data Visualizations With Power View

This module describes how to use Power View to create interactive data visualizations.

Performing Predictive Analysis with Data Mining

The module describes how to use Data Mining for Predictive Analysis.