Implementing Data Models and Reports with Microsoft SQL Server 2012 - 10778 Course Outline
Please note that course 10778 has been retired and has been replaced by course 20466.
20466: Implementing Data Models and Reports with Microsoft SQL Server - is a new, upgraded course that parallels the 10778, but now includes SQL 2014.
This new course has been 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.
To register, please see:
Implementing Data Models and Reports with Microsoft SQL Server
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.
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:
Implementing 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 PowerView.
Create data mining solutions by using SQL Server Analysis Services.
Before attending this course, the student should have:
At least 2 years’ experience of working with relational databases, including:
Designing a normalized database.
Creating tables and relationships.
Querying with Transact-SQL.
Some basic knowledge of data warehouse schema topology (including star and snowflake schemas).
Some exposure to basic programming constructs (such as looping and branching).
An awareness of key business priorities such as revenue, profitability, and financial accounting is desirable.
At Course Completion
After completing this course, students will be able to:
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 report execution and delivery.
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 PowerView to create interactive data visualizations.
Use Data Mining for Predictive Analysis.
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.
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.
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.
Introduction to Self Service Reporting
Shared Data Sources and Datasets
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.
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.
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.
Defining Attribute Hierarchies
Sorting and Grouping Attributes
Lab : Defining 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.
Working with Measures
Working with Measure Groups
Lab : Configuring Measures and Measure Groups
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.
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.
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.
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.
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
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.
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
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.
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.
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
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