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We're here to help you find itThe Data Analysis with Multidimensional Modelling course is designed to equip learners with the skills to utilize business intelligence (BI) tools and data modelling techniques. In Module 1: Introduction to Business Intelligence and Data Modelling, students will gain foundational knowledge of BI concepts and data models, understand the differences between MS SQL databases and cubes, and learn how to connect databases with SSIS and SSAS. They'll explore the creation and connection of data sources and multidimensional databases.
Module 2: SCD and Dimensions with Cube dives into practical aspects, teaching students to work with dimensions, measures, and measure groups, and introduces MDX for cube calculations.
In Module 3: Tabular Data Model with Analysis Services, learners will create a tabular data model and employ DAX to formulate calculated columns and measures. This course will be instrumental for those seeking to enhance their data analysis capabilities and gain proficiency in multidimensional modelling and business intelligence tools.
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♱ 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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To ensure that participants can fully benefit from the Data Analysis with Multidimensional Modelling course, the following prerequisites are recommended:
These prerequisites are meant to provide a foundation for the technical content of the course. They are not meant to deter anyone with a genuine interest in learning. If you are new to some of these concepts, we encourage you to take introductory courses or seek out resources that can help you get up to speed. Koenig Solutions is committed to supporting you on your learning journey.
This course offers an in-depth understanding of business intelligence, data analysis, and multidimensional modeling, tailored for professionals in the data sphere.
Gain a comprehensive understanding of business intelligence, multidimensional modeling, and data analysis. Learn to create and manipulate data models, understand cubes, and use SSIS and SSAS with SQL databases.
