Implementing Data Models and Reports with Microsoft SQL Server 2012 (Access to IT Library)

Study towards your MCSE: Data Management and Analytics certification.



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Offer ends 31 August 2019
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Study method
Online, self-paced
12 Months
MCSE Data Management & Analytics IT
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Additional info
  • Exam(s) / assessment(s) not included in price & must be purchased separately

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Expand and prove your ability to work with Microsoft SQL Server 2012 with our engaging, tutor-led course.

Implementing Data Models and Reports with Microsoft SQL Server 2012 70-466 exam is part one of a two-part series of courses to validate your skills and knowledge essential to make the appropriate job role decisions around implementing data models and reports with Microsoft SQL Server 2012.

What will I learn?

  • 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
  • Analysing 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 authorisation for a reporting solution
  • Implementing interactivity in a report
  • Troubleshooting reporting service issues
  • Managing a report environment
  • Configuring report data sources and datasets

Why not try the training before you buy

Get access to a free trial of the course, explore different learning segments and get an exact idea how the training is delivered.

Credit toward the new MCSE SQL Server 2012

ITonlinelearning’s courses follow official Microsoft curriculum and Microsoft 70-466 Implementing Data Models and Reports with Microsoft SQL Server 2012 course contributes a credit toward the Microsoft Certified Solutions Expert (MCSE): Data Management and Analytics certification which ITonlinelearning also offers.

What do I Get?

  • Expert, instructor-led training delivered via video streaming
  • Extensive demonstrations and presentations delivered in a multimedia format
  • Practice tests and full exam simulators
  • Unlimited access to the course for 1 year

What Next?

Enquire today! Our Advisors can answer any questions you have and set up your learning page as soon as you are ready to start your studies.

** This course bundle is part of our IT Library which also includes Certified Network Professional (CCNP), CISSP, MCSA: Windows Server 2016, MCSE: Cloud Platform and Infrastructure and MCSE: Productivity and many more **


MCSE Data Management & Analytics IT
Awarded by Microsoft


Module 1

  • Course Introduction
  • Course Modules
  • SQL Server 2012 Business Intelligence
  • Introduction to Business Intelligence
  • Data Warehouse
  • Extract, Transform and Load (ETL)
  • SQL Server Integration Services
  • SQL Server 2012 BI Tools
  • Developer Tools
  • Exam Scenarios

Module 2

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

Module 3

  • SSRS Management
  • Deploying Reports
  • Report Security
  • Executing Reports
  • Report Caching
  • Report Snapshot
  • Subscriptions
  • Data Alerts
  • Managing Reporting Services
  • Exam Scenarios
  • Module Review

Module 4

  • Multidimensional Cubes
  • Introduction to Cubes
  • Cube Components
  • Creating and Configuring Analysis Services Cube
  • Exam Scenarios
  • Module Review

Module 5

  • Advanced Cube Concepts
  • Measures
  • Formatting Measures
  • Measure Groups
  • Measure Group Storage
  • Aggregations
  • Dimensions
  • Dimension Storage
  • Hierarchies
  • Grouping and Sorting
  • Working with Measures
  • Exam Scenarios
  • Module Review

Module 6

  • Customizing Cubes and Security
  • Actions
  • Perspectives
  • Key Performance Indicators
  • Translations
  • SSAS Security
  • Cell Permissions
  • Dimension Permissions
  • Customizing Cubes and Cube Security
  • Exam Scenarios
  • Module Review

Module 7

  • MultiDimensionaleXpressions (MDX)
  • Introduction to MDX
  • Why Use MDX?
  • MDX Syntax
  • MDX Queries and Filters
  • Sets
  • Applying MDX
  • Working with MDX
  • Exam Scenarios
  • Module Review

Module 8

  • Tabular Data Models
  • Introduction to TDM
  • PowerPivot
  • Linked and Non-Linked Tables
  • PowerPivot
  • Server Based Tabular Data Models
  • Creating a Tabular Data Model
  • Workspace Database
  • Tabular Data Model
  • Working with Tabular Data Modeling
  • Exam Scenarios
  • Module Review

Module 9

  • Data Analysis eXpressions (DAX)
  • Introduction to DAX
  • Working with DAX
  • DAX Functions
  • DAX Queries
  • Calculated Columns
  • Measures
  • Multiple Relationships
  • Working with DAX within PowerPivot
  • Exam Scenarios
  • Module Review

Module 10

  • Data Mining
  • Introduction to Data Mining
  • Data Mining Algorithms
  • Data Mining Components
  • Validating Mining Models
  • Presenting Mining Data
  • Creating a Mining Structure
  • Exam Scenarios
  • Module Review
  • Course Review

Who is this course for?

This course is aimed at anyone hoping to work towards obtaining the MCSE: Data Management and Analytics certification.


In order to obtain the MCSE: Data Management and Analytics you must already have gained one of the prerequisite MCSA certifications:

  • MCSA: SQL Server 2012/2014
  • MCSA: SQL 2016 BI Development
  • MCSA: SQL 2016 Database Administration
  • MCSA: SQL 2016 Database Development
  • MCSA: Machine Learning
  • MCSA: BI Reporting
  • MCSA: Data Engineering with Azure

Career path

  • Database Analyst
  • Database Designer
  • Business Intelligence Analyst
  • Business Intelligence Consultant

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