Course Content
Course 10778A:
MCSE: 70-466 Implementing Data Models and Reports with Microsoft SQL Server 2012
5 Days
Module 1: Introduction to Business Intelligence and Data Modeling
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
Introduction to Business Intelligence
The Microsoft Business Intelligence Platform
Lab : Reporting and Analyzing Data
Exploring a Reporting Services Repot
Exploring a PowerPivot Workbook
Exploring a Power View Report
Module 2: Implementing Reports with SQL Server Reporting Services
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
Introduction to Reporting Services
Creating a Report with Report Designer
Grouping and Aggregating Data in a Report
Showing Data Graphically
Filtering Reports by Using Parameters
Publishing and Viewing a Report
Lab : Creating a Report with Report Designer
Creating a Report
Grouping and Aggregating Data
Lab : Enhancing and Publishing a Report
Adding a Chart to a Report
Adding Parameters to a Report
Publishing a Report
Module 3: Supporting Self Service Reporting
This module describes Microsoft SQL Server Reporting Services features that you can use to enable self-service
reporting.
Lessons
Introduction to Self Service Reporting
Shared Data Sources and Datasets
Report Parts
Lab : Implementing Self Service Reporting
Using Report Builder
Simplifying Data Access for Business Users
Using Report Parts
Module 4: Managing Report Execution and Delivery
This module describes how to apply security settings and configure reports for delivery.
Lessons
Managing Report
Security
Managing Report Execution
Subscriptions and Data Alert
Troubleshooting Reporting Services
Lab : Configuring Report Execution and Delivery
Configuring Report Execution
Implementing a Standard Subscription
Implementing a Data-Driven Subscription
Module 5: Creating Multidimensional Databases
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
Introduction to Multidimensional Analysis
Creating Data Sources and Data Source Views
Creating a Cube
Overview of Cube
Security
Lab : Creating a Multidimensional Database
Creating a Data Source
Creating and Modifying a Data Source View
Creating and Modifying a Cube
Module 6: Working with Dimensions
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
Configuring Dimensions
Defining Attribute Hierarchies
Sorting and Grouping Attributes
Lab : Defining Dimensions
Configuring Dimensions
Defining Relationships and Hierarchies
Sorting and Grouping Dimensions Attributes
Module 7: Working with Measures and Measure Groups
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
Working with Measures
Working with Measure Groups
Lab : Configuring Measures and Measure Groups
Configuring Measures
Defining Dimension Usage and Relationships
Configuring Measure Group Storage
Module 8: Introduction to MDX
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
MDX Fundamentals
Adding Calculations to a Cube
Using MDX to Query a Cube
Lab : Using MDX
Querying a Cube by Using MDX
Creating a Calculated Member
Module 9: Customizing Cube Functionality
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
Working with Key Performance Indicators
Working with Actions
Working with Perspectives
Working with Translations
Lab : Customizing a Cube
Implementing an Action
Implementing a Perspective
Implementing a Translation
Module 10: Implementing a Tabular Data Model with Microsoft PowerPivot
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
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
Creating a Tabular Data Model by Using PowerPivot for Excel
Using a Tabular Data Model in Excel
Sharing a PowerPivot Workbook to PowerPivot Gallery
Using a PowerPivot Workbook as a Data Source
Module 11: Introduction to DAX
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
DAX Fundamentals
Using DAX to Create Calculated Column and Measures in a Tabular Data Model
Lab : Creating Calculated Columns and Measures by Using DAX
Creating Calculated Columns
Creating Measures
Using Time Intelligence
Creating a Dynamic Measure
Module 12: Implementing an Analysis Services Tabular Data Model
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
Introduction to Analysis Services Tabular Data Model Projects
Developing an Analysis Services Tabular Data Model in SQL Server Data Tools
Lab : Working with an Analysis Services Tabular Data Model
Creating an Analysis Data Services Tabular Data Model from a PowerPivot Workbook
Implementing a Perspective
Implementing Partitions
Deploying an Analysis Services Tabular Data Model
Enabling Access to a Tabular Data Model
Configuring DirectQuery Storage Model
Implementing Security in a Tabular Data Model
Module 13: Creating Data Visualizations with Power View
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
Introduction to Power View
Visualizing Data with Power View
Lab : Creating Data Visualizations with Power View
Modify the Tabular Data Model
Create a Simple Power View Report
Using Interactive Visualizations
Create a Scatter Chart and a Play Axis
Module 14: Performing Predictive Analysis with Data Mining
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
Overview of Data Mining
Creating a Data Mining Solution
Validating a Data Mining Solution
Consuming a Data Mining Solution
Lab : Using Data Mining to Support a Marketing Campaign
Using Table Analysis Tools
Creating a Data Mining Model
Using the Data Mining Add-in for Excel
Validating Data Mining Models
Using a Data Mining Model in a Report
Course 20467B
MCSE: 70-467 Designing Business Intelligence Solutions with Microsoft SQL Server 2012
5 Days
Module 1: Planning a BI Solution
This module discusses how to plan the components of a BI solution.
Lessons
Elements of a BI Solution
The Microsoft BI Platform
Planning a BI Project
Lab : Planning a BI Solution
Scoping a BI Solution
Determining Software Requirements
Module 2: Planning SQL Server Business Intelligence Infrastructure
This module explains how to plan an appropriate BI infrastructure for a given set of BI services.
Lessons
Considerations for BI Infrastructure
Planning Data Warehouse Hardware
Lab : Planning a BI Infrastructure
Planning Server Topology
Planning Data Warehouse Server Hardware
Module 3: Designing a Data Warehouse
This module explains how to design a data warehouse for a given set of user requirements.
Lessons
Data Warehouse Design Overview
Designing Dimension Tables
Designing Fact Tables
Designing a Data Warehouse Physical Implementation
Lab : Designing a Data Warehouse Logical Schema
Identifying Business Processes and Dimensions
Designing Dimension Models and Data Warehouse Tables
Lab : Designing a Data Warehouse Physical Implementation
Designing File Storage
Designing Warehouse Data Structures
Module 4: Designing an ETL Solution
This module explains how to design an ETL solution for a data warehouse.
Lessons
ETL Overview
Planning Data Extraction
Planning Data Transformation
Planning Data Loads
Lab : Designing an ETL Solution
Preparing for ETL Design
Creating Source-to-Target Documentation
Using SSIS To Load a Partitioned Fact Table
Module 5: Designing Analytical Data Models
This module explains how to design analytical data models for specific BI scenarios.
Lessons
Introduction to Analytical Data Models
Designing an Analytical Data Model
Designing Dimensions
Enhancing Data Models
Lab : Comparing Analytical Data Models
Creating a Multidimensional Data Model
Creating a Tabular Data Model
Lab : Designing Dimensions and Hierarchies
Creating Dimensions in a Multidimensional Data Model
Creating Dimensions in a Tabular Data Model
Lab : Enhancing Analytical Data Models
Enhancing a Multidimensional Data Model
Enhancing a Tabular Data Model
Module 6: Planning a BI Delivery Solution
This module explains how to choose an appropriate delivery solution for a given scenario.
Lessons
Considerations for Delivering BI
Common Reporting Scenarios
Choosing a Reporting Tool
Lab :Planning a BI Delivery Solution
Assessing Reporting Requirements
Module 7: Designing a Reporting Services Solution
This module explains how to design a Reporting Services solution.
Lessons
Planning a Reporting Services Solution
Designing Reports
Planning Report Consistency
Lab : Designing a Reporting Services Solution
Designing a Reporting Environment
Creating Reusable Report Item
Creating Reports
Module 8: Designing a Microsoft Excel-Based Reporting Solution
This module explains how to design a reporting solution that uses Excel.
Lessons
Using Excel for Data Analysis and Reporting
PowerPivot for Excel
Power View for Excel
Lab : Designing an Excel Reporting Solution
Exercise 1: Planning Excel Features
Exercise 2: Analyzing a Cube with Excel
Exercise 3: Creating a PowerPivot Workbook
Exercise 4: Using Power View in Excel
Module 9: Planning a SharePoint Server BI Solution
This module explains how to design a SharePoint BI solution.
Lessons
Introduction to SharePoint Server as a BI Platform
Planning Security for a SharePoint Server BI Solution
Planning Reporting Services Configuration
Planning PowerPivot Configuration
Planning for PerformancePoint Services
Lab : Implementing a SharePoint Server BI Solution
Exercise 1: Creating a SharePoint Server Site for BI
Exercise 2: Configuring Reporting Services in SharePoint Server
Exercise 3: Configuring PowerPivot for SharePoint
Lab : Implementing a PerformancePoint Services
Exercise 1: Creating a PerformancePoint Dashboard
Module 10: Monitoring and Optimizing a BI Solution
This module explains how to monitor and optimize a BI solution.
Lessons
Overview of BI Monitoring
Monitoring and Optimizing the Data Warehouse
Monitoring and Optimizing Analysis Services
Monitoring and Optimizing Reporting Services
Lab : Monitoring and Optimizing a BI Solution
Monitoring and Optimizing a Data Warehouse
Monitoring and Optimizing Analysis Services
Monitoring and Optimizing Reporting Services
Module 11: Operating a BI Solution
This module explains how to plan management and maintenance operations for a BI solution.
Lessons
Overview of BI Operations
ETL Operations
Data Warehouse Operations
Analysis Services Operations
Reporting Services Operations
Lab : Operating a BI Solution
Configuring SQL Server Integration Services
Automate Data Warehouse Load Tasks
Test Automated Operations
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