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Data Mastery with SSAS and MS SQL Server 2022 Course Overview

Data Mastery with SSAS and MS SQL Server 2022 Course Overview

Unlock your data analytics potential with Koenig Solutions' Data Mastery with SSAS and MS SQL Server 2022 course. This comprehensive training equips you with essential skills in Business Intelligence, data warehousing, and OLAP concepts. Learn to set up SSAS, create and manage cubes, and optimize performance while exploring advanced topics like DAX and real-time data analysis. Gain practical experience in implementing security measures and leveraging cloud integration with Azure Analysis Services. By the end of this course, you'll confidently apply your knowledge in data modeling and analytics, making you a valuable asset in today's data-driven landscape.

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2,500

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Course Fee 2,500
Total Fees
2,500 (USD)
  • Live Training (Duration : 40 Hours)
  • Per Participant
  • Guaranteed-to-Run (GTR)
  • Classroom Training fee on request
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  • Live Training (Duration : 40 Hours)
  • Per Participant
  • Classroom Training fee on request
Koeing Learning Stack

Koenig Learning Stack

Free Pre-requisite Training

Join a free session to assess your readiness for the course. This session will help you understand the course structure and evaluate your current knowledge level to start with confidence.

Assessments (Qubits)

Take assessments to measure your progress clearly. Koenig's Qubits assessments identify your strengths and areas for improvement, helping you focus effectively on your learning goals.

Post Training Reports

Receive comprehensive post-training reports summarizing your performance. These reports offer clear feedback and recommendations to help you confidently take the next steps in your learning journey.

Class Recordings

Get access to class recordings anytime. These recordings let you revisit key concepts and ensure you never miss important details, supporting your learning even after class ends.

Free Lab Extensions

Extend your lab time at no extra cost. With free lab extensions, you get additional practice to sharpen your skills, ensuring thorough understanding and mastery of practical tasks.

Free Revision Classes

Join our free revision classes to reinforce your learning. These classes revisit important topics, clarify doubts, and help solidify your understanding for better training outcomes.

Inclusions in Koenig's Learning Stack may vary as per policies of OEMs

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♱ Excluding VAT/GST

You can request classroom training in any city on any date by Requesting More Information

Inclusions in Koenig's Learning Stack may vary as per policies of OEMs

Request More Information

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Course Advisor

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Prem Nidhi Sharma

9+ Years Experience

An effective communicator with good analytical, problem-solving, and organizational abilities. I enjoy interacting with people and providing solutions to their needs. I am an expert in making Training a Fun and learning experience. 

 

I am a seasoned Technical Lead with a strong foundation in data engineering and cloud technologies, holding certifications as a Microsoft Certified Data Engineer and Fabric Analytics Engineer. With a robust background as a Database Administrator across both on-premises and Azure cloud environments, I bring deep expertise in enterprise-scale data solutions.

My technical skill set includes hands-on experience with SQL Server Integration Services (SSIS), SQL Server Analysis Services (SSAS), and SQL Server Reporting Services (SSRS), along with advanced proficiency in Azure Databricks and end-to-end database development. I have successfully designed and implemented complex data architectures and analytics platforms that drive business insights and operational efficiency.

In addition to my technical acumen, I have had the privilege of training and consulting for leading global IT service providers such as HCL, Wipro, Cognizant, and Infosys, helping teams adopt best practices and leverage modern data tools effectively.

I am passionate about building scalable data ecosystems, mentoring cross-functional teams, and delivering innovative solutions that align with strategic business goals.

 

Target Audience for Data Mastery with SSAS and MS SQL Server 2022

Data Mastery with SSAS and MS SQL Server 2022 equips professionals with essential skills in Business Intelligence, data warehousing, and analytics in a modern BI landscape.


Target Audience:


  • Business Intelligence Analysts
  • Data Analysts
  • Data Engineers
  • Database Administrators
  • Business Intelligence Developers
  • Solutions Architects
  • IT Professionals seeking upskilling in data analytics
  • Project Managers in tech and data-driven industries
  • Students pursuing careers in data management and analytics
  • Analysts in finance, marketing, and operations looking for data insights
  • Cloud Technology Specialists
  • Technical Support Engineers dealing with BI tools
  • Educators and trainers in data science and BI technologies


Learning Objectives - What you will Learn in this Data Mastery with SSAS and MS SQL Server 2022?

Course Introduction

The Data Mastery with SSAS and MS SQL Server 2022 course equips learners with essential skills in Business Intelligence, data warehousing, and analytics, focusing on both Multidimensional and Tabular models to empower effective data management and analysis.

Learning Objectives and Outcomes

  • Understand the fundamental concepts of Business Intelligence and data models.
  • Explore modern BI trends, including self-service analytics and AI/ML integration.
  • Analyze the architecture and tools of Microsoft’s Business Intelligence platform, including SSAS and Power BI.
  • Gain insight into data warehousing principles and OLAP methodologies.
  • Install, configure, and understand the architecture of SQL Server Analysis Services (SSAS).
  • Create, manage, and optimize cubes, dimensions, and measures for effective data analysis.
  • Utilize MDX and DAX for querying and enhancing SSAS models.
  • Implement security measures, roles, and permissions within SSAS environments.
  • Learn strategies for performance optimization and troubleshooting in SSAS.
  • Discover the advantages and functionalities of Cloud Integration with Azure Analysis Services.

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