Microsoft 70-467: Designing Business Intelligence Solutions with Microsoft SQL Server 2012

This course is designed for BI Architects, who focus on the overall design of the BI infrastructure, including how it relates to other data systems in use. Primary responsibilities may include but are not limited to:

BI Solution architecture and design
Provisioning of software and hardware
Data warehouse and data mart design
Online Analytical Processing (OLAP) cube design
Integration with SharePoint or line of business applications

This training course on designing business intelligence solutions with Microsoft SQL Server 2012 prepares participants for the Microsoft Exam 70-467.

This course will provide all the skills and knowledge for the following areas:

• Performance planning
• Scalability planning
• Planning for managing upgrades
• Maintaining server health
• Designing a security strategy
• SQL partitioning strategy design
• Backup strategy design
• Designing a logging and auditing strategy
• Reporting Services dataset design
• Managing Excel Services/Reporting for SharePoint
• Data acquisition strategy design
• Planning and managing reporting services configuration
• BI reporting solution architecture design
• Data warehouse design
• Designing a schema
• Designing cube architecture
• Designing fact tables
• BI Semantic Model design
• Designing and creating MDX calculations
• Designing SSIS package execution
• Planning to deploy SSIS solutions
• Designing package configurations for SSIS packages

Module 1

• Course Introduction
• Course Modules
• Introduction to Data Warehousing
• On-Line Transaction Processing (OLTP) vs. OLAP
• Data Warehousing
• Data Warehouse Architecture
• Creating a Data Warehouse
• Presenting On-Line Analytical Processing (OLAP) Data
• OLTP vs. OLAP Demonstration
• Exam Scenarios
• Module Review
• Module 2
• Designing a Data Warehouse
• Data Modeling
• Data Warehouse Schemas
• Time Dimensions
• Data Modeling Considerations
• Implementing a Data Model
• Logical Model
• Physical Model
• Working with Dimensions and Fact Tables
• Exam Scenarios
• Module Review

Module 3

• Extraction, Transformation, and Load (ETL) with SSIS
• Introduction to SQL Server Integration Services (SSIS)
• Upgrading SSIS Packages
• SSIS Tools
• Introduction to Data Flow Tasks
• Data Sources
• Transformations
• Destinations
• Control Flow
• Variables
• Expressions
• Precedence
• Containers
• Control Flow Containers
• Transactions
• Package Execution with Checkpoints
• Working with SSIS Packages
• Exam Scenarios
• Module Review

Module 4

• Deploying and Securing Packages
• Deploying Options
• Deploying Packages
• Deploying Projects
• Securing Packages
• Deploying and Securing Packages
• Exam Scenarios
• Module Review

Module 5

• SQL Server Reporting Services (SSRS)
• Introduction to Reporting Services
• SSRS Reports Creation and Delivery
• SSRS Reports
• Grouping
• Expressions
• Drilldown
• Parameters
• Drillthrough
• Visual Components
• Creating Reports Within Reporting Services
• Exam Scenarios
• Module Review

Module 6

• SSRS Reports
• Report Security
• Report Execution
• Report Caching
• Report Snapshot
• Subscriptions
• Data Alerts
• Deploying Reports and Report Security
• Exam Scenarios
• Module Review

Module 7

• Multidimensional Cubes
• Introduction to Cubes
• Components of a Multidimensional Cubes
• Measures
• Measure Format and Aggregation Functions
• Measure Groups
• Aggregations
• Dimensions
• Dimension Storage
• Dimensions Hierarchies
• Grouping and Sorting
• Actions
• Perspectives
• Key Performance Indicators
• Translations
• SSAS Security
• Cell Permissions
• Dimension Permissions
• Creating and Configuring a Cube
• Exam Scenarios
• Module Review

Module 8

• Tabular Data Models
• Introduction to Tabular Data ModelsPowerPivot
• Working with PowerPivot
• Linked and Non-Linked Tables
• PowerPivot Features
• Server Based Tabular Data Models
• Creating a Tabular Data Model
• Tabular Models with SSDT
• Workspace Database
• Tabular Data Model
• Tabular Data Model Security
• Creating a Tabular Data Model Using PowerPivot
• Exam Scenarios
• Module Review

Module 9

• MDX/DAX
• Introduction to Multidimensional Expressions (MDX)
• Why Use MDX?
• MDX Syntax
• Sets
• Where is MDX Used?
• Introduction to Data Analysis eXpressions (DAX
• Working with DAX
• DAX Functions
• DAX Queries
• Calculated Columns
• DAX Measures
• Multiple Relationships
• Exam Scenarios
• Module Review

Module 10

• Data Mining
• Introduction to Data Mining
• Data Mining Algorithms
• Data Mining Components
• Validating and Presenting Data Mining Models
• Creating a Data Mining Model
• Exam Scenarios
• Module ReviewCourse Review

How is each course taught?

All courses are online and self-paced, meaning you do it in your own home, in your own time, at your own pace.  Each lesson is pre-recorded allowing you to pause, fast-forward, skip sections, or go back to another lesson if you need to.  The lessons are multi-media based, which means video and audio are used to teach the lessons.  Most lessons are also interactive, prompting the learner to participate.  This might involve answering on-screen questions, participating in tasks, and using simulators as if you were using the real software program.

How long will it take me to complete each course?

As mentioned above, our courses are self-paced.  Some people finish their course faster than others.  If you choose to only do one of the certification courses from this bundle, then it will take you less time than if you do two or three or all of them.  No matter what though, you will always have 12 months to complete your course.

What do I need?                                   

All you need is an internet connection and a PC.  While most of the lessons work on MACs, we recommend you use a PC for the best performance.  Certain parts of the course may not display properly on older MACs.  Once you’ve logged into your course, you may be prompted to down certain free plugins such as Java.  Just follow the on-screen prompts.