MS10778 Implementing Data Models and Reports with Microsoft SQL Server 2012

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Data Models and Reports SQL Server 2012 Training

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.

Objectives

  • 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.

Target Audience

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

Pre-Requisites

  • 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.

Content

Module 1: Introduction to Business Intelligence and Data Modeling

  • Introduction to Business Intelligence
  • The Microsoft Business Intelligence Platform
  • Exploring a Reporting Services Repot
  • Exploring a PowerPivot Workbook
  • Exploring a Power View Report

Module 2: Implementing 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
  • Creating a Report
  • Grouping and Aggregating Data
  • Adding a Chart to a Report
  • Adding Parameters to a Report
  • Publishing a Report

Module 3: Supporting Self Service Reporting

  • Introduction to Self Service Reporting
  • Shared Data Sources and Datasets
  • Report Parts
  • Using Report Builder
  • Simplifying Data Access for Business Users
  • Using Report Parts

Module 4: Managing Report Execution and Delivery

  • Managing Report Security
  • Managing Report Execution
  • Subscriptions and Data Alert
  • Troubleshooting Reporting Services
  • Configuring Report Execution
  • Implementing a Standard Subscription
  • Implementing a Data-Driven Subscription

Module 5: Creating Multidimensional Databases

  • Introduction to Multidimensional Analysis
  • Creating Data Sources and Data Source Views
  • Creating a Cube
  • Overview of Cube Security
  • Creating a Data Source
  • Creating and Modifying a Data Source View
  • Creating and Modifying a Cube

Module 6: Working with Dimensions

  • Configuring Dimensions
  • Defining Attribute Hierarchies
  • Sorting and Grouping Attributes
  • Defining Relationships and Hierarchies
  • Sorting and Grouping Dimensions Attributes

Module 7: Working with Measures and Measure Groups

  • Working with Measures
  • Working with Measure Groups
  • Configuring Measures
  • Defining Dimension Usage and Relationships
  • Configuring Measure Group Storage

Module 8: Introduction to MDX

  • MDX Fundamentals
  • Adding Calculations to a Cube
  • Using MDX to Query a Cube
  • Querying a Cube by Using MDX
  • Creating a Calculated Member

Module 9: Customizing Cube Functionality

  • Working with Key Performance Indicators
  • Working with Actions
  • Working with Perspectives
  • Working with Translations
  • Implementing an Action
  • Implementing a Perspective
  • Implementing a Translation

Module 10: Implementing a Tabular Data Model with Microsoft PowerPivot

  • 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
  • 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

  • DAX Fundamentals
  • Using DAX to Create Calculated Column and Measures in a Tabular Data Model
  • Creating Calculated Columns
  • Creating Measures
  • Using Time Intelligence
  • Creating a Dynamic Measure

Module 12: Implementing an Analysis Services Tabular Data Model

  • Introduction to Analysis Services Tabular Data Model Projects
  • Developing an Analysis Services Tabular Data Model in SQL Server Data Tools
  • 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

  • Introduction to Power View
  • Visualizing Data 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

  • Overview of Data Mining
  • Creating a Data Mining Solution
  • Validating a Data Mining Solution
  • Consuming a Data Mining Solution
  • 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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