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Implementing Data Models and Reports with Microsoft SQL Server 2014

3.85(2,997 reviews)
Duration
5
Upcoming Batch
28 September 2026 - 02 October 2026
Batch Options
8 hours & 4 hours
Language
English / Arabic

The “Implementing Data Models and Reports with Microsoft SQL Server 2014” course is designed to provide comprehensive training on creating and managing data models and reports using SQL Server 2014. The course covers a range of topics essential for designing effective data models that support business intelligence and decision-making processes. Participants will learn how to use SQL Server Analysis Services (SSAS) to build multidimensional and tabular models, as well as how to implement data mining techniques to extract meaningful insights from data. The course also delves into the use of SQL Server Reporting Services (SSRS) for developing, managing, and delivering reports that are both interactive and visually appealing. Emphasis is placed on practical skills, including the creation of reports, integration with data models, and deployment strategies to ensure that the reports meet organizational needs and performance standards. By the end of the course, attendees will have gained the knowledge and skills necessary to effectively implement data models and reports in SQL Server 2014, contributing to more informed decision-making and data-driven strategies.

Schedule Dates

28 September 2026 - 02 October 2026
Implementing Data Models and Reports with Microsoft SQL Server 2014
28 December 2026 - 01 January 2027
Implementing Data Models and Reports with Microsoft SQL Server 2014
29 March 2027 - 02 April 2027
Implementing Data Models and Reports with Microsoft SQL Server 2014
05 July 2027 - 09 July 2027
Implementing Data Models and Reports with Microsoft SQL Server 2014

Course Content

  • Elements of an Enterprise BI Solution
  • The Microsoft Enterprise BI Platform
  • Planning an Enterprise BI Project
  • Exploring a BI Solution

FAQs

Participants should have a basic understanding of SQL Server and relational database concepts. Familiarity with data warehousing and business intelligence principles is beneficial but not mandatory.

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