Developing SQL 2016 Data Models (SSAS) Course Overview

Target Audience for Developing SQL 2016 Data Models (SSAS)

The "Developing SQL 2016 Data Models" course caters to professionals aiming to enhance their BI and data modeling skills.

• Business Intelligence (BI) Analysts
• Data Analysts
• Database Administrators
• Database Developers
• Data Architects
• Data Scientists
• IT Professionals working with SQL Server
• SQL Server Developers
• Business Analysts involved in BI projects
• System Architects
• BI Developers
• Report Developers
• Professionals preparing for Microsoft certification exams related to SQL Server Analysis Services (SSAS)

Learning Objectives - What you will Learn in this Developing SQL 2016 Data Models (SSAS)?

Introduction to Course Learning Outcomes:

Gain expertise in SQL 2016 Data Models with a focus on building business intelligence solutions, multidimensional databases, and tabular data models, incorporating MDX, DAX, and data mining techniques.

Learning Objectives and Outcomes:

• Understand the fundamentals of business intelligence and the Microsoft BI platform.
• Learn to create and manage multidimensional structures such as data sources, data source views, and cubes.
• Configure dimensions, attributes, and measure groups for accurate data analysis.
• Implement cube security to protect sensitive business information.
• Develop proficiency in Multidimensional Expressions (MDX) for adding calculations and querying cubes.
• Customize cubes with advanced features like key performance indicators (KPIs), actions, perspectives, and translations.
• Construct and deploy tabular data models using Analysis Services to enhance enterprise BI solutions.
• Apply Data Analysis Expressions (DAX) to create calculated columns and measures within tabular models.
• Perform predictive analysis by employing data mining techniques and validate the accuracy of data mining models.
• Integrate and consume data mining models in business scenarios for informed decision-making.