Data Mastery with SSAS and MS SQL Server 2022 Training

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Course Highlights

  • Instructor-led Online Training
  • Project Based Learning
  • Certified & Experienced Trainers
  • Course Completion Certificate
  • Lifetime e-Learning Access
  • 24x7 After Training Support

Data Mastery with SSAS and MS SQL Server 2022 Training Course Overview

Data Mastery with SSAS and MS SQL Server 2022 Training by Multisoft Systems equips you with essential skills in data modeling, cube development, and BI analytics. Learn to optimize queries, manage multidimensional data, and enhance decision-making processes. Gain hands-on expertise and advance your career in data analytics and business intelligence.

The Data Mastery with SSAS and MS SQL Server 2022 Training by Multisoft Systems is designed to equip professionals with comprehensive knowledge of SQL Server Analysis Services (SSAS) and its integration with Microsoft SQL Server 2022. This course covers data modeling, cube development, multidimensional and tabular analysis, and Business Intelligence (BI) techniques, enabling learners to build efficient and scalable analytical solutions. Participants will gain hands-on experience in creating OLAP cubes, writing MDX and DAX queries, optimizing data performance, and managing large datasets. The course delves into data warehouse architecture, data mining concepts, and real-time analytics, ensuring professionals can efficiently handle complex data structures for enterprise-level decision-making. This training is ideal for database administrators, BI developers, data analysts, and professionals working with SQL Server environments. With expert-led instruction, learners will understand how to design, deploy, and manage BI solutions using SSAS, improving their ability to extract valuable insights from enterprise data.

By the end of this course, participants will be well-equipped to optimize SQL Server performance, implement data models, and enhance data-driven decision-making in their organizations, paving the way for advanced career opportunities in business intelligence and data analytics.

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Data Mastery with SSAS and MS SQL Server 2022 Training Course curriculum

Curriculum Designed by Experts

Data Mastery with SSAS and MS SQL Server 2022 Training by Multisoft Systems equips you with essential skills in data modeling, cube development, and BI analytics. Learn to optimize queries, manage multidimensional data, and enhance decision-making processes. Gain hands-on expertise and advance your career in data analytics and business intelligence.

The Data Mastery with SSAS and MS SQL Server 2022 Training by Multisoft Systems is designed to equip professionals with comprehensive knowledge of SQL Server Analysis Services (SSAS) and its integration with Microsoft SQL Server 2022. This course covers data modeling, cube development, multidimensional and tabular analysis, and Business Intelligence (BI) techniques, enabling learners to build efficient and scalable analytical solutions. Participants will gain hands-on experience in creating OLAP cubes, writing MDX and DAX queries, optimizing data performance, and managing large datasets. The course delves into data warehouse architecture, data mining concepts, and real-time analytics, ensuring professionals can efficiently handle complex data structures for enterprise-level decision-making. This training is ideal for database administrators, BI developers, data analysts, and professionals working with SQL Server environments. With expert-led instruction, learners will understand how to design, deploy, and manage BI solutions using SSAS, improving their ability to extract valuable insights from enterprise data.

By the end of this course, participants will be well-equipped to optimize SQL Server performance, implement data models, and enhance data-driven decision-making in their organizations, paving the way for advanced career opportunities in business intelligence and data analytics.

  • Understand SQL Server Analysis Services (SSAS) architecture and functionalities.
  • Learn to design, develop, and deploy OLAP cubes for multidimensional analysis.
  • Master tabular modeling and its advantages over multidimensional models.
  • Gain expertise in writing MDX (Multidimensional Expressions) and DAX (Data Analysis Expressions) queries.
  • Optimize data performance and processing efficiency in SQL Server 2022.
  • Implement data warehousing and business intelligence (BI) solutions.
  • Explore data mining techniques and predictive analytics in SSAS.

Course Prerequisite

  • Basic understanding of SQL and relational databases
  • Familiarity with Microsoft SQL Server (any version)
  • Knowledge of database management and querying

Course Target Audience

  • Data Analysts
  • SQL Server Administrators
  • Data Engineers
  • Database Developers
  • ETL Developers
  • Business Intelligence Consultants
  • Data Scientists
  • IT Professionals managing SQL Server environments
  • Decision-Makers working with Enterprise Data

Course Content

  • Overview of Business Intelligence and Data Models
  • Modern BI Trends: Self-Service BI, Cloud Analytics, AI/ML Integration
  • Microsoft Business Intelligence Platform: SSAS, Power BI, Azure

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  • Concepts of Data Warehousing
  • Modern Data Warehousing Approaches: Cloud Data Warehouses
  • Introduction to Online Analytical Processing (OLAP)
  • Differences between OLAP and OLTP
  • In-Memory OLAP: Tabular Models

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  • Installation and Configuration: Multidimensional vs. Tabular Mode
  • Understanding SSAS Architecture
  • Overview of SSAS Tools: SSMS, SSDT, PowerShell

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  • Introduction to Multidimensional Analysis
  • Comparison with Tabular Models
  • Data Sources and Data Source Views
  • Steps to Create a Multidimensional Database

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  • What is a Cube?
  • Steps to Create a Cube
  • Best Practices for Cube Design: Partitioning, Aggregations
  • Managing and Maintaining Cubes

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  • Configuring Dimensions: Role-Playing Dimensions
  • Defining Attribute Hierarchies
  • Implementing Sorting and Grouping for Attributes
  • Slowly Changing Dimensions: Type 1, Type 2, Type 3
  • Working with Measures: Calculated Measures
  • Working with Measure Groups

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  • Processing Options: Parallel Processing
  • Deploying Models: On-Premises vs. Azure Analysis Services
  • Incremental Processing

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  • MDX Fundamentals
  • Adding Calculations to a Cube
  • Using MDX to Query a Cube
  • Introduction to DAX (Data Analysis Expressions)
  • Advanced DAX Concepts: Time Intelligence, Row Context vs. Filter Context
  • Using DAX to Create Calculated Columns and Measures in a Tabular Data Model

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  • Monitoring and Tuning Performance: SQL Server Profiler, Extended Events
  • Using Aggregations
  • Partitioning Strategies for Large Datasets
  • Best Practices for Performance

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  • Implementing Security in SSAS: Row-Level Security
  • Managing Roles and Permissions
  • Backup and Restore Strategies: Cloud-Based Backup Options

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  • Advanced MDX and DAX Queries: Practical Examples
  • Real-Time Data Analysis with SSAS: DirectQuery Mode
  • Integration with Other BI Tools: Power BI, Excel, Tableau

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  • Introduction to Tabular Models
  • Creating and Managing Tabular Models
  • Differences between Multidimensional and Tabular Models
  • When to Use Tabular vs. Multidimensional

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  • Azure Analysis Services Overview
  • Advantages of Cloud-Based SSAS
  • Data Refresh Strategies: Incremental Refreshes

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  • Common Issues and Resolutions
  • Debugging and Logging in SSAS

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Data Mastery with SSAS and MS SQL Server 2022 Training (MCQ) Assessment

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Data Mastery with SSAS and MS SQL Server 2022 Training FAQ's

This course aims to provide in-depth knowledge of SQL Server Analysis Services (SSAS), data modeling, cube development, multidimensional and tabular analysis, and business intelligence (BI) techniques using MS SQL Server 2022.

The training is ideal for BI developers, data analysts, SQL administrators, database developers, ETL professionals, and IT professionals working with SQL Server environments.

Participants should have basic knowledge of SQL, relational databases, and Microsoft SQL Server. Familiarity with data warehousing and BI concepts will be beneficial but is not mandatory.

The course covers OLAP cubes, MDX and DAX queries, tabular modeling, data mining, real-time analytics, SQL Server performance optimization, and BI solution deployment.

To contact Multisoft Systems you can mail us on info@multisoftsystems.com or can call for course enquiry on this number +91 9810306956

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