Business intelligence (BI) is becoming increasingly important for companies of many different sizes and types because of the competitive edge it can help to give them. The combined capabilities of Microsoft SQL Server 2012 and Microsoft SharePoint 2010 make it easier than ever for companies to develop a BI solution that meets their specific needs, provides reduced total cost of ownership (TCO), and achieves a faster time to solution.
This five-day instructor-led course teaches students how to empower information workers through self-service analytics and reporting. Students will learn how to implement multidimensional analysis solutions, create PowerPivot and tabular data models, deliver rich data visualizations with PowerView and SQL Server Reporting Services, and discover business insights by using data mining. This course helps people prepare for exam 70-466.
Save on this course with an Intertech training bundle. This course is included in the following bundles:
After completing this course, students will be able to:
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:
Before attending this course, the student should have:
This module provides an introduction to Business (BI) Intelligence. It describes common BI scenarios, current trends in BI, and the typical roles that are involved in creating a BI solution. It also introduces the Microsoft BI platform and describes the roles Microsoft SQL Server 2012 and Microsoft SharePoint 2010 play in Microsoft BI solutions.
Lessons
Lab : Reporting and Analyzing Data
After completing this module, students will be able to:
This module discusses the tools and techniques a professional business intelligence developer can use to create and publish reports with SQL Server Reporting Services.
Lessons
Lab : Creating a Report with Report Designer
After completing this module, students will be able to:
This module describes Microsoft SQL Server Reporting Services features that you can use to enable self-service reporting.
Lessons
Lab : Implementing Self Service Reporting
After completing this module, students will be able to:
This module describes how to apply security settings and configure reports for delivery.
Lessons
Lab : Configuring Report Execution and Delivery
After completing this module, students will be able to:
The fundamental purpose of using SQL Server Analysis Services online analytical processing (OLAP) solutions is to build cubes that you can use to perform complex queries and return the results in a reasonable time. This module provides an introduction to multidimensional databases and introduces the core components of an OLAP cube.
Lessons
Lab : Creating a Multidimensional Database
After completing this module, students will be able to:
In SQL Server Analysis Services, dimensions are a fundamental component of cubes. This module provides an insight into the creation and configuration of dimensions and dimension hierarchies.
Lessons
Lab : Defining Dimensions
After completing this module, students will be able to:
A measure represents a column that contains quantifiable data, usually numeric, that you can aggregate. This module describes measures and measure groups. The module also explains how you can use measures to define fact tables and associate dimensions.
Lessons
Lab : Configuring Measures and Measure Groups
After completing this module, students will be able to:
Multidimensional Expressions (MDX) is the query language that you use to work with and retrieve multidimensional data in SQL Server Analysis Services. This module describes the fundamentals of MDX. It also explains how to build calculations, such as calculated members and named sets.
Lessons
Lab : Using MDX
After completing this module, students will be able to:
In this module, you will learn how to customize cube functionality by using several technologies available to you in SQL Server Analysis Services. These technology customizations include: Key Performance Indicators, Actions, Perspectives, and Translations.
Lessons
Lab : Customizing a Cube
After completing this module, students will be able to:
This module introduces tabular data models, explains how to install and use the PowerPivot for Excel add-in, and describes how to share a workbook to PowerPivot Gallery.
Lessons
Lab : Using PowerPivot for Excel
After completing this module, students will be able to:
This module covers 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.
Lessons
Lab : Creating Calculated Columns and Measures by Using DAX
After completing this module, students will be able to:
With SQL Server 2012, you can install Analysis Services in Tabular mode and create tabular data models that information workers can access by using tools such as Excel and Power View. This module describes Analysis Services tabular data models and explains how to develop a tabular data model by using the SQL Server Data Tools.
Lessons
Lab : Working with an Analysis Services Tabular Data Model
After completing this module, students will be able to:
SQL Server 2012 introduces Power View, a SharePoint-based data exploration tool that provides a way for information workers to interactively create data visualizations that help them to better understand the data that they are working with. This module introduces Power View and describes how you can use it to create a range of different types of reports quickly and easily.
Lessons
Lab : Creating Data Visualizations with Power View
After completing this module, students will be able to:
SQL Server Analysis Services includes data mining tools that you can use to identify patterns in your data, helping you to determine why particular things happen and to predict what will happen in the future. 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 Excel, and how to incorporate data mining results into Reporting Services reports.
Lessons
Lab : Using Data Mining to Support a Marketing Campaign
After completing this module, students will be able to: