Implementing Data Models and Reports with Microsoft SQL Server 2014 Course Overview

Implementing Data Models and Reports with Microsoft SQL Server 2014 Course Overview

The Implementing Data Models and Reports with Microsoft SQL Server 2014 course is a comprehensive training program that teaches learners how to implement a data warehouse with SQL Server. This course covers key facets of business intelligence (BI) solutions, multidimensional databases, cube operations, MDX scripting, and data model optimization. It's suitable for database professionals who need to fulfill a BI developer role focused on hands-on work creating BI solutions, including data warehouse implementation, ETL, and data cleansing.

By learning to create multidimensional databases, work with cubes and dimensions, and implement measures and measure groups, participants will gain skills in structuring and analyzing data effectively. The course also delves into using MDX and DAX for data manipulation, enhancing BI reports, managing report execution, and delivering BI insights with SharePoint PerformancePoint Services. Additionally, it touches on predictive analysis with data mining, preparing learners to support more complex data-driven decision-making processes.

Learners will benefit by gaining practical knowledge and skills in SQL Server Reporting Services, data modeling, and enterprise BI solutions, enhancing their abilities to support and manage real-world data warehousing projects.

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  • Live Online Training (Duration : 40 Hours)
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  • Guaranteed-to-Run (GTR)
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  • Live Online Training (Duration : 40 Hours)
  • Per Participant

♱ Excluding VAT/GST

Classroom Training price is on request

You can request classroom training in any city on any date by Requesting More Information

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Course Prerequisites

Certainly! The minimum required prerequisites for successfully undertaking the "Implementing Data Models and Reports with Microsoft SQL Server 2014" course are as follows:


  • Basic understanding of relational databases and familiarity with database design concepts.
  • Knowledge of data warehousing and data processing concepts.
  • Experience with Windows operating systems and basic navigation within Windows.
  • Familiarity with Microsoft Excel and Microsoft SharePoint (helpful but not mandatory).

These prerequisites ensure that participants are ready to fully engage with the course material and successfully apply the concepts taught. Please note that while prior experience with SQL Server is beneficial, it is not strictly necessary as the course will cover the necessary SQL Server topics.


Target Audience for Implementing Data Models and Reports with Microsoft SQL Server 2014

This course provides in-depth training on SQL Server 2014 data modeling and reporting for IT professionals seeking BI solutions.


  • Business Intelligence (BI) Developers
  • Database Professionals
  • Data Analysts
  • IT Professionals involved in designing and implementing BI solutions
  • SQL Server Report Writers
  • Data Architects
  • System Engineers who manage and maintain BI infrastructure
  • Technical Consultants involved in BI
  • Data Warehousing Professionals
  • Performance Management Professionals
  • Database Administrators looking to specialize in BI


Learning Objectives - What you will Learn in this Implementing Data Models and Reports with Microsoft SQL Server 2014?

Introduction to the Course's Learning Outcomes and Concepts Covered

This course provides an in-depth understanding of business intelligence solutions using Microsoft SQL Server 2014, focusing on data modeling, multidimensional cubes, and reporting techniques.

Learning Objectives and Outcomes

  • Understand the components and architecture of a Microsoft Enterprise BI solution, including planning and implementing a BI project.
  • Create and manage multidimensional databases using SQL Server Analysis Services (SSAS), including data sources, data source views, and cubes.
  • Configure dimensions, define attribute hierarchies, and manage sorting and grouping within SSAS to enhance data analysis.
  • Work with measures and measure groups to effectively organize and summarize business data for analytical purposes.
  • Learn the fundamentals of Multidimensional Expressions (MDX) and apply MDX to add calculations and query cubes for advanced analytics.
  • Enhance cubes with Key Performance Indicators (KPIs), actions, perspectives, and translations to improve business insights and user experience.
  • Implement and manage an Analysis Services Tabular Data Model, and learn to use it within an enterprise environment.
  • Understand Data Analysis Expressions (DAX) and apply it to enhance a tabular data model with complex calculations and relationships.
  • Design and implement reports using SQL Server Reporting Services (SSRS), including data grouping, aggregation, and graphical display of information.
  • Manage report security, execution, and delivery, as well as create subscriptions and data alerts to automate reporting processes.