SSAS : Microsoft SQL Server Analysis Services

Course Level: Beginner
Duration: 8 Hrs 56 Min
Total Videos: 50 On-demand Videos

Unlock the potential of data with this comprehensive, hands-on course on Microsoft SQL Server 2019 Analysis Services (SSAS). Ideal for data analysts, BI professionals, and IT experts, this program enables you to master business intelligence, data warehousing, and data modeling, equipping you with the skills to implement real-world BI solutions and execute complex data analysis tasks.

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Learning Objectives

01

Understand the basics of Business Intelligence and explore data modeling and warehousing techniques.

02

Learn how to create, configure, and secure multidimensional databases and cubes.

03

Gain knowledge about cubes and dimensions, including attribute hierarchies, relationships, and slowly changing dimensions.

04

Acquire skills in managing measures and measure groups, their storage and relationships.

05

Develop a foundational understanding of MDX and learn to add calculations and query a cube using MDX.

06

Customize cube functionality and learn about Key Performance Indicators, actions, perspectives, and translations.

07

Understand the concepts of tabular data models and learn to configure them for enterprise BI solutions.

08

Master Data Analysis Expressions (DAX), including calculated columns, relationships, measures and KPIs.

Course Description

Acquire the power to transform raw data into actionable insights with our comprehensive Microsoft SQL Server 2019 Analysis Services (SSAS) course. This intensive training dives into the core of Business Intelligence (BI) and Data Modeling, providing you with a deep understanding of Microsoft’s Business Intelligence Platform. Learn about data warehousing, data modeling, and get hands-on experience with multidimensional databases, cube security, and the creation and configuration of cubes. This course is perfect for data analysts looking to enhance their data modeling skills, and BI professionals aiming to build and deploy multidimensional and tabular models.

This SSAS training is a full package for those who want to master data analysis. Grasp the intricacies of MDX for querying cubes and adding calculations to a cube, customize cube functionality with Key Performance Indicators (KPIs), actions, perspectives, and translations. The course progresses through the world of tabular data models, Data Analysis Expressions (DAX), and data mining, making you proficient in implementing real-world BI solutions and executing complex data analysis tasks. The knowledge and skills gained will open a myriad of career opportunities in the rapidly growing field of Business Intelligence and data analysis.

Ideal for a broad spectrum of professionals, this course is designed to enhance BI and data analysis skills. Data analysts, BI professionals, database administrators, IT professionals, developers, and even beginners keen to start a career in data analysis and BI, will find this course extremely beneficial. With the skills and knowledge gained in this course, you can significantly boost your earning potential in the BI and data analysis field, opening up a variety of lucrative career opportunities.

Who Benefits From This Course

  • Database administrators seeking to enhance their knowledge in SQL server analysis
  • Data analysts interested in gaining expertise in multidimensional databases
  • Professionals working on Business Intelligence projects who need to understand data modeling
  • Developers looking to learn about cube creation and configuration
  • IT professionals who want to understand and implement data warehouse solutions
  • Data scientists interested in learning about data mining and custom data mining solutions
  • Professionals seeking to understand and implement key performance indicators in a business context
  • Individuals interested in learning about MDX fundamentals and querying a cube using MDX
  • BI consultants who are keen on learning about slowly changing dimensions in a data model
  • Professionals who want to customize cube functionality for their enterprise solutions

Frequently Asked Questions

What is Microsoft SQL Server Analysis Services (SSAS)?

Microsoft SQL Server Analysis Services (SSAS) is a component of the Microsoft SQL Server, a database management system. It is used in the field of Business Intelligence (BI) for data analysis and data modeling. SSAS enables the creation, configuration, and management of multidimensional structures called cubes that contain data from various data sources. These cubes facilitate fast analysis of large amounts of data and provide valuable insights for business decision-making. SSAS supports both multidimensional and tabular data models, offering flexibility in data analysis and BI solution implementation.

What are the key features of SSAS?
  • Creation and management of multidimensional databases and cubes that enable quick data analysis.
  • Data modeling capabilities that include tabular and multidimensional models.
  • MDX (Multidimensional Expressions) and DAX (Data Analysis Expressions) for querying cubes and adding calculations.
  • Customization of cube functionality with Key Performance Indicators (KPIs), actions, perspectives, and translations.
  • Extensive data mining capabilities to uncover patterns and relationships in data.
Who can benefit from learning SSAS?

SSAS is an essential tool for professionals involved in data analysis and Business Intelligence (BI), such as data analysts, BI professionals, database administrators, IT professionals, and developers. Even if you're new to BI, learning SSAS can provide a solid foundation for a career in data analysis and BI. The skills gained from mastering SSAS can significantly boost your earning potential and open up a variety of lucrative career opportunities in the rapidly growing field of BI and data analysis.

What is the importance of SSAS in Business Intelligence (BI)?

In the field of Business Intelligence (BI), SSAS plays a crucial role in enabling data analysis and modeling. It allows the creation of multidimensional structures, or cubes, that contain data from various sources. These cubes facilitate fast, efficient analysis of large volumes of data, helping businesses glean valuable insights for decision-making. SSAS also supports both multidimensional and tabular data models, providing flexibility in data analysis and BI solution implementation. Furthermore, it offers extensive data mining capabilities that help uncover patterns and relationships in data, contributing to more informed, data-driven decision making.

What are MDX and DAX in the context of SSAS?

MDX (Multidimensional Expressions) and DAX (Data Analysis Expressions) are two key query languages used in SSAS. MDX is designed for querying and manipulating multidimensional cubes and adding calculations to data in SSAS. DAX, on the other hand, is a formula expression language used in SSAS tabular models. It allows users to define custom calculations in PowerPivot tables (tabular model databases) and enables data manipulation directly within SSAS. Both MDX and DAX are essential for creating complex data analysis queries and enhancing the functionality of cubes in SSAS.

Included In This Course

Module 1 - Introduction to Business Intelligence and Data Modeling

  •    1.1 Course Introduction
  •    1.2 Module 1 Introduction
  •    1.3 Introduction to Business Intelligence
  •    1.4 The Microsoft Business Intelligence Platform
  •    1.5 Exploring a Data Warehouse
  •    1.6 Exploring a Data Model

Module 2 - Multidimensional Databases

  •    2.1 Module 2 Introduction
  •    2.2 Introduction to Multidimensional Analysis
  •    2.3 Overview of Cube Security
  •    2.4 Creating and Configuring a Cube
  •    2.5 Data Sources
  •    2.6 Data Source Views
  •    2.7 Adding a Dimension to a Cube

Module 3 - Cubes and Dimensions

  •    3.1 Module 3 Introduction
  •    3.2 Dimensions
  •    3.3 Attribute Hierarchies and Relationships
  •    3.4 Sorting and Grouping Attributes
  •    3.5 Slowly Changing Dimensions

Module 4 - Measures and Measure Groups

  •    4.1 Module 4 Introduction
  •    4.2 Measures
  •    4.3 Measure Groups and Relationships
  •    4.4 Measure Group Storage

Module 5 - Introduction to MDX

  •    5.1 Module 5 Introduction
  •    5.2 MDX Fundamentals
  •    5.3 Adding Calculations to a Cube
  •    5.4 Querying a cube using MDX

Module 6 - Customizing Cube Functionality

  •    6.1 Module 6 Introduction
  •    6.2 Key Performance Indicators
  •    6.3 Actions
  •    6.4 Perspectives
  •    6.5 Translations

Module 7 - Tabular Data Models

  •    7.1 Module 7 Introduction
  •    7.2 Introduction to Tabular Data Models
  •    7.3 Creating a Tabular Data Model
  •    7.4 Configure Relationships and Attributes
  •    7.5 Configuring Data Model for an Enterprise BI Solution

Module 8 - Data Analysis Expressions (DAX)

  •    8.1 Module 8 Introduction
  •    8.2 DAX Fundamentals
  •    8.3 Calculated Columns
  •    8.4 Relationships
  •    8.5 Measures
  •    8.6 Time Intelligence
  •    8.7 KPI
  •    8.8 Parent - Child Hierarchies

Module 9 - Data Mining

  •    9.1 Module 9 Introduction
  •    9.2 Overview of Data Mining
  •    9.3 Custom Data Mining Solutions
  •    9.4 Validating a Data Mining Model
  •    9.5 Consuming a Data Mining Model
  •    9.6 Course Wrap Up

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