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Microsoft 70-466: Implementing Data Models and Reports with Microsoft SQL Server 2012

Instructor-led video course with presentations, workbooks, games, flashcards and quizzes.
The course focuses on creating managed enterprise BI solutions and covers how to implement multidimensional and tabular data models, deliver reports with Microsoft SQL Server Reporting Services, create dashboards with Microsoft SharePoint Server Performance Point Services, and discover business insights by using data mining. It describes how to consolidate SQL Server workloads and how to plan and implement high availability and disaster recovery solutions.
  • Designing dimensions and measures
  • Implementing and configuring dimensions in a cube
  • Designing a schema to support a cube architecture
  • Creating measures
  • Implementing a cube
  • Creating Multidimensional Expressions (MDX) queries
  • Implementing custom logic in a data model
  • Implementing storage design in a multidimensional model
  • Selecting an appropriate model for data analysis
  • Analyzing data model performance
  • Processing data models
  • Troubleshooting data analysis issues
  • Deploying SSAS databases
  • Installing and maintaining an SSAS instance
  • Configuring permissions and roles in a Business Intelligence Semantic Model (BISM)
  • Implementing a tabular data model
  • Implementing business logic in a tabular data model
  • Implementing data access for a tabular data model
  • Designing a report
  • Implementing a report layout
  • Configuring authentication and authorization for a reporting solution
  • Implementing interactivity in a report
  • Troubleshooting reporting service issues
  • Managing a report environment
  • Configuring report data sources and datasets
  • 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.
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:

  • Supporting data mining and predictive analysis.
  • Creating business performance dashboards.
  • Implementing reports, and managing report delivery.
  • Implementing analytical data models, such as OLAP cubes.

Module 1

1.1 Course Introduction

1.2 Course Modules

1.3 SQL Server 2012 Business Intelligence

1.4 Introduction to Business Intelligence

1.5 Data Warehouse

1.6 Extract, Transform and Load (ETL)

1.7 SQL Server Integration Services

1.8 SQL Server 2012 BI Tools

1.9 Developer Tools

1.10 Exam Scenarios

Module 2

2.1 SQL Server Reporting Services

2.2 Introduction to SSRS

2.3 Creation and Delivery

2.4 SSRS Reports

2.5 Report Grouping

2.6 Expressions

2.7 Drilldown Report

2.8 Parameters

2.9 Visual Components

2.10 Creating SQL Server

2.11 Exam Scenarios

2.12 Module Review

Module 3

3.1 SSRS Management

3.2 Deploying Reports

3.3 Report Security

3.4 Executing Reports

3.5 Report Caching

3.6 Report Snapshot

3.7 Subscriptions

3.8 Data Alerts

3.9 Managing Reporting Services

3.10 Exam Scenarios

3.11 Module Review

Module 4

4.1 Multidimensional Cubes

4.2 Introduction to Cubes

4.3 Cube Components

4.4 Creating and Configuring Analysis Services Cube

4.5 Exam Scenarios

4.6 Module Review

Module 5

5.1 Advanced Cube Concepts

5.2 Measures

5.3 Formatting Measures

5.4 Measure Groups

5.5 Measure Group Storage

5.6 Aggregations

5.7 Dimensions

5.8 Dimension Storage

5.9 Hierarchies

5.10 Grouping and Sorting

5.11 Working with Measures

5.12 Exam Scenarios

5.13 Module Review

Module 6

6.1 Customizing Cubes and Security

6.2 Actions

6.3 Perspectives

6.4 Key Performance Indicators

6.5 Translations

6.6 SSAS Security

6.7 Cell Permissions

6.8 Dimension Permissions

6.9 Customizing Cubes and Cube Security

6.10 Exam Scenarios

6.11 Module Review

Module 7

7.1 MultiDimensional eXpressions (MDX)

7.2 Introduction to MDX

7.3 Why Use MDX?

7.4 MDX Syntax

7.5 MDX Queries and Filters

7.6 Sets

7.7 Applying MDX

7.8 Working with MDX

7.9 Exam Scenarios

7.10 Module Review

Module 8

8.1 Tabular Data Models

8.2 Introduction to TDM

8.3 PowerPivot

8.4 Linked and Non-Linked Tables

8.5 PowerPivot

8.6 Server Based Tabular Data Models

8.7 Creating a Tabular Data Model

8.8 Workspace Database

8.9 Tabular Data Model

8.10 Working with Tabular Data Modeling

8.11 Exam Scenarios

8.12 Module Review

Module 9

9.1 Data Analysis eXpressions (DAX)

9.2 Introduction to DAX

9.3 Working with DAX

9.4 DAX Functions

9.5 DAX Queries

9.6 Calculated Columns

9.7 Measures

9.8 Multiple Relationships

9.9 Working with DAX within PowerPivot

9.10 Exam Scenarios

9.11 Module Review

Module 10

10.1 Data Mining

10.2 Introduction to Data Mining

10.3 Data Mining Algorithms

10.4 Data Mining Components

10.5 Validating Mining Models

10.6 Presenting Mining Data

10.7 Creating a Mining Structure

10.8 Exam Scenarios

10.9 Module Review

10.10 Course Review

E-COURSE Expert-led video course with presentations, workbooks, quizzes, games and flashcards.
  • 05:17:55+ Hours Of learning
  • Includes video, presentations, workbooks, quizzes, flashcards & games
  • Receive a Certificate of Excellence on successful completion
  • Presented by highly qualified, industry leading experts
  • 12 Months access
  • 10-Day money-back guarantee
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