Code: 
10778
Duration: 
5-90 Day(s)
Price: 
1945-2445

Overview

This 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.

The Beta version of this course (10778AB) utilizes pre-release software in the virtual machine for the labs. Microsoft SQL Server 2012 Release Candidate 0 (RC0) is used in this course. Some of the exercises in this course are SQL Azure enabled.

Audience

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:

  • Implement reporting solutions by using SQL Server Reporting Services
  • Implementing multidimensional databases by using SQL Server Analysis Services
  • Creating tabular semantic data models for analysis by using SQL Server Analysis Services
  • Create visualizations of data by using Power View
  • Create data mining solutions by using SQL Server Analysis Services

Skills Gained

  • Describe the components, architecture, and nature of a BI solution.
  • Create reports with Reporting Services.
  • Create reusable report items that simplify self-service reporting.
  • Manage a reporting infrastructure.
  • 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 PowerPivot.
  • Use DAX to query a tabular model.
  • Implement a Tabular Database.
  • Use Power View to create interactive data visualizations.
  • Use Data Mining for predictive analysis.

Prerequisites

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

  • 10774A: Writing Queries with Microsoft SQL Server Transact-SQL

Course Specifics

Course Outline

  • Module 1: 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.
  • Introduction to Business Intelligence
  • The Microsoft Business Intelligence Platform
  • Lab : Reporting and Analyzing Data
  • Module 2: Implementing Reports with Reporting Services
    This module describes how to create reports with Reporting Services.
  • Introduction to Reporting Services
  • Creating a Report with Report Designer
  • Grouping and Aggregating Data in a Report
  • Showing Data Graphically
  • Filtering Reports Using Parameters
  • Lab : Implementing Reports with Reporting Services
  • Module 3: Supporting Self-Service Reporting
    This module describes how to create reusable report items that simplify self-service reporting.
  • Introduction to Report Builder
  • Creating Reusable Report Items
  • Lab : Supporting Self-Service Reporting
  • Module 4: Managing a Reporting Infrastructure
  • Describes how to manage a reporting infrastructure.
  • Managing Security
  • Managing Report Execution
  • Delivering Reports with Subscriptions
  • Troubleshooting Reporting Services
  • Lab : Implementing Report Subscriptions
  • Module 5: Creating Multidimensional Databases
    This module provides an introduction to multidimensional databases and introduces the core components of an OLAP cube.
  • Introduction to Multidimensional Analysis
  • Creating Data Sources and Data Source Views
  • Creating a Cube
  • Overview of Cube Security
  • Lab : Creating a Multidimensional Database
  • Module 6: Working with Cubes and Dimensions
    This module describes how to create multidimensional databases and introduces the core components of an OLAP cube
  • Configuring Dimensions
  • Defining Attribute Hierarchies
  • Sorting and Grouping Attributes
  • Lab : Working with Cubes and Dimensions
  • Module 7: Working with Measures and Measure Groups
    This module describes how to implement measures and measure groups in a cube.
  • Working With Measures
  • Working with Measure Groups
  • Lab : Configuring Measures and Measure Groups
  • Module 8: 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.
  • MDX Fundamentals
  • Adding Calculations to a Cube
  • Using MDX To Query a Cube
  • Lab : Using MDX
  • Module 9: 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 Key Performance Indicators
  • Implementing Actions
  • Implementing Perspectives
  • Implementing Translations
  • Lab : Customizing a Cube
  • Module 10: 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 Tabular Data Models and PowerPivot Technologies
  • Creating a Tabular Data Model by Using PowerPivot for Excel
  • Sharing a PowerPivot Workbook and Using PowerPivot Gallery
  • Lab : Using PowerPivot for Excel
  • Module 11: 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.
  • DAX Fundamentals
  • Using DAX to Create Calculated Columns and Measures in a Tabular Data Model
  • Lab : Creating Calculated Columns and Measures by Using DAX
  • Module 12: 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.
  • Introduction to Analysis Services Tabular Data Model Projects
  • Implementing an Analysis Services Tabular Data Model in Business Intelligence Development Studio
  • Lab : Working with an Analysis Services Tabular Data Model
  • Module 13: Creating Data Visualizations With Power View
    This module describes how to use Power View to create interactive data visualizations.
  • Introduction to Power View
  • Visualizing Data with Power View
  • Lab : Creating Interactive Reports with Power View
  • Module 14: Performing Predictive Analysis with Data Mining
    The module describes how to use Data Mining for Predictive Analysis.
  • Overview of Data Mining
  • Using the Data Mining Add-In for Excel
  • Creating a Custom Data Mining Solution
  • Validating a Data Mining Model
  • Connecting to a and Consuming a Data-Mining Model
  • Lab : Performing Predictive Analysis with Data Mining

Thinking about Onsite?

If you need training for 3 or more people, you should ask us about onsite training. Putting aside the obvious location benefit, content can be customised to better meet your business objectives and more can be covered than in a public classroom. It's a cost effective option.

Submit an enquiry from any page on this site, and let us know you are interested in the requirements box, or simply mention it when we contact you.

Upcoming Dates

a Location Cost Days Date  
Online 5Online
Birmingham 2223526 Mar 18
London 2445526 Feb 18
London 2223529 Jan 18
London 2445504 Dec 17
Birmingham 2223523 Oct 17
London 2223509 Oct 17
Manchester 2223502 Oct 17
London 2445525 Sep 17
London 1945518 Sep 17
Leeds 2223521 Aug 17
Belfast 9031 Jul 17
Bristol 9028 Jul 17
London 2445517 Jul 17
Exeter 9017 Jul 17
Manchester 2223503 Jul 17
Leeds 9019 Jun 17
London 2223519 Jun 17
London 9014 Jun 17
Liverpool 9024 May 17
Reading 9022 May 17
Birmingham 2223515 May 17
London 1945508 May 17
Glasgow 9003 May 17